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About Us
dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.
As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.
We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:
dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started.. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.
Location: Remote - Candidates must be located in either Ireland or Germany to be considered for this position.
We’re seeking an experienced Sr. Technical Instructor with a passion for teaching and working with data to join our training team to setup Enterprise customers and partners for success with dbt to empower data developers to create and disseminate organisational knowledge.
Compensation
We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process.
Benefits
dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.
dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. RSUs or comparable benefits may be offered depending on the legal or country limitations.
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You are expected to conduct and lead internationally competitive research in AI-driven semantic analysis and automated reasoning-flow modeling, with applications to educational materials, scientific documents, and research authoring. Your work will focus on developing advanced methods for semantic structure extraction, conceptual and argumentative flow reconstruction, rationale-aware content generation, metacognitive prompting, and adaptive personalization. Core research contributions will include designing algorithms for concept and structure extraction, building neural/graph hybrid models for pedagogical reasoning, implementing ontology-alignment methods for cross-domain transfer, and creating human-in-the-loop optimization pipelines that incorporate expert feedback—aligning with the multi-year research roadmap (WP1–WP3) .
As a postdoctoral researcher, you will take a leading role in designing experiments, shaping research directions, supervising junior researchers (including PhD students), and contributing to the development of end-to-end demonstrator systems capable of generating structured, rationale-rich, and learner-adaptive content. You will be responsible for coordinating data annotation efforts, overseeing the construction of evaluation frameworks, and driving publication-quality research outputs, including survey papers, methodology papers, and cross-domain transfer studies. Interdisciplinary collaboration is strongly encouraged, especially at the intersection of computer science, computational linguistics, cognitive science, and learning technologies, and you will have opportunities to initiate or co-lead joint projects with internal and external partners.
The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course development and supervising Bachelor’s, Master’s, and PhD theses. The university provides a supportive academic environment—including mentoring, administrative support, computational resources, and opportunities for technology transfer and industry engagement—enabling the postdoctoral researcher to establish or strengthen an internationally visible research profile.
Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.
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Academic Strategy Associate - Join Our Innovative Team at think-cell Software
Our Story
At think-cell, we create powerful software solutions that help professionals be more efficient and productive. Founded in 2002 and based in Berlin, our tools integrate seamlessly with Microsoft Office to help users create presentations, charts, and diagrams with ease. Our dynamic, international team values creativity, collaboration, and technical excellence.
What You Will Do
You will be end-to-end contributing to a strategic priority of think-cell – the growth of the academic program. In the role as you will be responsible for a broad range of tasks, and there will be (almost) no typical day during your time at think-cell.
In our academic program we bring think-cell and state-of-the-art storytelling to the next generation of leading professionals. This means we provide students and professors with free access to our tool, so that they can already benefit from think-cell during their time at school (find out more here). We have big plans to grow the program significantly with the next years – and you can be an integral part of it.
Key Responsibilities:
You will be great for this position if you have
Our Values
As part of our team, you will embody and help shape the following principles that define us:
Forward Thinking: We embrace change and challenge the status quo.
Ownership: We take pride in our work and learn from our mistakes.
Customer First: We prioritize delivering lasting value.
Unified Team: We foster collaboration, respect, and integrity.
Strive for Excellence: We set ambitious goals and pursue quality.
We believe in a human hiring process, every application is personally reviewed.
Why is think-cell the right place for you?
We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 210 people, committed to innovation and excellence.
think-cell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!
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The research group led by Prof. Dr. Andrey Ustyuzhanin at Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor Technology (industry partner), invites applications for Ph.D. student positions in the field of Computer Science, with a focus on Artificial Intelligence (AI) and Machine Learning (ML).
This PhD position is part of an initiative to advance knowledge representation and adaptive reasoning systems. The research will focus on developing flexible frameworks for actionable knowledge representation that support storage, retrieval, and dynamic adaptation of information across diverse tasks.
The overarching goal is to create systems that enable transparent, adaptive, and spatially intuitive representations of knowledge, supporting both individual users and collaborative communities.
The appointment provides full financial coverage through a dedicated fellowship, comprising:
Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.
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You are expected to contribute to the development of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and representing deep semantic and pedagogical structures in scientific and educational materials; high-fidelity extraction of conceptual and reasoning blocks; inference-time rationale generation; and adaptive, learner-aware sequencing of content. This includes work on semantic parsing, structured NLP, graph-based neural models, metacognitive prompting, ontology alignment across disciplines, and human-in-the-loop optimization.
In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences. You will contribute to developing datasets, baseline models, personalized learning engines, reasoning-graph representations, cross-domain mapping algorithms, and RLHF-style feedback loops that improve system interpretability and instructional quality. The successful candidate will also contribute to high-quality publications, release research prototypes, and support demonstrator systems that deliver structured semantic extraction, rationale-aware content generation, and cross-domain transfer of reasoning structures.
Additionally, the successful candidate is expected to support teaching activities in areas such as Machine Learning, Natural Language Processing, AI in Education, Knowledge Representation, and Python-based analytical seminars at the BSc, MSc, and PhD levels. Responsibilities include assisting in course delivery, advising students, supervising Bachelor/Master theses, and engaging in methodological innovation for online, hybrid, and in-person learning environments. The university provides strong support for early-career researchers, including mentorship, administrative assistance, access to computational resources, conference funding, and opportunities to collaborate with other research groups and industrial partners working at the intersection of AI and digital education.
The appointment provides full financial coverage through a dedicated fellowship, comprising:
Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.
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Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor Technology (industry partner), invites applicants holding MSc degree and with a very strong scientific profile for Ph.D. student positions in the field of Computer Science, with a focus on Artificial Intelligence (AI) and Machine Learning (ML).
In this position students will contribute to research projects in CKL and as part of their education, will also engage in a dedicated 6-months internship period at Constructor Technology (CT), gaining first-hand industrial experience.
The appointment provides full financial coverage through a dedicated fellowship, comprising:
This structure follows best practices of European research funding programs and ensures that the PI can pursue research objectives with both financial and administrative stability.
Shortlisted candidates will be invited to interviews. Admission decisions will be announced by December 20, 2025.
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Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor Technology (industry partner), invites applicants holding BSc degree and with a very strong scientific profile for fast-track Ph.D. student positions in the field of Computer Science, with a focus on Artificial Intelligence (AI) and Machine Learning (ML).
In this position students will contribute to research projects in CKL and as part of their education, will also engage in a dedicated 6-months internship period at Constructor Technology (CT), gaining first-hand industrial experience.
The appointment provides full financial coverage through a dedicated fellowship, comprising:
This structure follows best practices of European research funding programs and ensures that the PI can pursue research objectives with both financial and administrative stability.
Shortlisted candidates will be invited to interviews. Admission decisions will be announced by 10 April 2026.
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Position: Field Applications Scientist I, EMEA
Position Type: Full-Time
Department: Scientific Support
Location: DACH region (Germany / Austria / Switzerland). Remote. Must be close to a major airport (within 50 kms).
Experience: MS required; 4+ years experience in a Field Applications role
Watchmaker Genomics (WMG) is inviting applications for the full-time position of Field Applications Scientist I, EMEA (remote) based in the DACH region.
This position reports to the Associate Director, Field and Automation Support and will be mainly responsible for providing field technical support for Watchmaker’s Next-Gen Sequencing (NGS) and precision enzyme product portfolios. This position will support the EMEA technical team by providing pre- and post-sales technical and scientific support, including presenting technical content to customers and distributors, co-travel with sales team members, attending and/or presenting at conferences and assisting with various marketing activities. This position is field based, with up to 75% travel within EMEA (potential for international travel outside EMEA).
Prior experience with providing field application support is required. The successful candidate will be self-motivated, proactive, and thrive in a dynamic, fast-paced working environment contributing directly to our company culture and success.
The position is expected to have a deep technical understanding of our current product portfolio, maintain knowledge of current and new NGS products, workflows-associated applications, competitor products and NGS automation support offerings, and identify and escalate changes in the market dynamics. This position is also accountable for providing customer feedback on WMG products, in addition to identifying unmet customer needs that will enable the development of new and innovative products.
Relevant experience providing field-based applications support for next-generation sequencing (NGS) experiments and/or other advanced genomics applications. Relevant experience includes working in high-throughput sequencing labs developing, optimizing and troubleshooting NGS workflows both manually and on automated platforms and managing large sequencing projects.
Qualified candidates will have a proactive approach with a can-do attitude, and be great communicators with a high level of self-motivation. Candidates will also have a strong desire to continually improve, learn and collaborate to help WMG stay at the forefront of exciting new applications spaces. Candidates will be able to demonstrate a high standard experience to our customer base, excel in the art of troubleshooting, and take ownership and pride in their work.
Candidates will have the courage to initiate discussions with customers to challenge the current "status quo" and have the confidence to drive change and adoption of new concepts. Full product training will be provided.
The following skills and experience are requirements for the position:
Application Requirements
To apply for the position, please submit the following in a PDF format on watchmakergenomics.com:
Applications without a Letter of Motivation will not be considered.
Applications will be accepted on a rolling basis and the position will remain open until filled; however, early submission is encouraged as review will begin immediately.
If selected to participate in the interview process, the names and contact information of three professional references who are able to assess your suitability for the position in terms of the specified requirements will be requested.
*** NO RECRUITMENT AGENCIES PLEASE
We are only accepting direct applications for this position. We are not working with external recruiters or agencies at this time. Unsolicited resumes or candidate submissions from third-party recruiters will not be considered and will be deemed the property of Watchmaker Genomics.
*** WE ARE AN EQUAL OPPORTUNITY/AFFIRMATIVE ACTION EMPLOYER
Watchmaker Genomics is committed to being an equal opportunity employer and creating a culturally diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, or veteran status or any other characteristics as protected by applicable law..
This position may be subject to pre-employment checks, including driving history check, drug screening and a background check for any convictions directly related to its duties and responsibilities. All pre-employment checks will comply with all applicable federal, state, and local laws.
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Charles River Associates is a leading global consulting firm that provides economic, financial, and business management expertise to major law firms, corporations and governments around the world. CRA advises clients on economic and financial matters pertaining to litigation and regulatory proceedings, and guides corporations through critical business strategy and performance-related issues. For nearly 60 years, clients have engaged CRA for its combination of industry experience and rigorous, fact-based analyses that provide clients with clear, implementable solutions to complex business concerns.
CRA's European Competition Practice specialises in providing economic advice on matters of competition policy and regulation. We assist firms and their legal advisors in all types of competition proceedings: firms considering merger and acquisition opportunities or involved in merger control proceedings; and firms undergoing investigations relating to cartels, restrictive commercial agreements, abuse of dominance or state aid. We also provide advice to firms involved in regulatory proceedings and sector inquiries. We offer assistance on the estimation of effects and damages in cartel cases, international arbitration and intellectual property disputes.
Principals have the unique opportunity to learn from, and work alongside, some of the most respected scholars, specialists, and industry experts in the world. We tailor our analyses to the facts of each case, employing tools such as merger simulation, upward pricing pressure analysis, econometrics, bargaining theory, or game theory as needed. Whether before a court or a regulatory agency, CRA consultants set a high standard for the clear communication of sophisticated economic analysis in complex cases. You will have access to internal training programs focused on creative problem solving, communications, and leading and managing colleagues, teams and cases. In addition, our firm offers extracurricular activities where you can take additional leadership roles in recruiting, training, and volunteer activities in the local community.
A typical Principal would:
Desired Qualifications
To be considered for this position, submit through this job posting:
CRA creates a work environment that enables our colleagues to benefit from being together in the office to best deliver on our promise of career growth, mentorship and inclusivity. At the same time, we recognise that individuals realise a range of benefits when working from home periodically. We currently ask that individuals spend 3 to 4 days a week on average working in the office (which may include traveling to another CRA office or to a client's location), with specific days determined in coordination with your practice or team. At certain times of the year (e.g. holiday periods), additional remote work options are offered to those whose work commitments permit it, although our offices remain open for those who choose or need to be there.
Charles River Associates is an equal opportunity employer. As part of our focus on equity and inclusion, we work to ensure a fair and consistent hiring process. We celebrate diversity and we are committed to an inclusive work environment.
The statements included in this job description are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of personnel so classified.
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