21 programming-language "Data driven Materials Modeling" Postdoctoral positions at Utrecht University
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) Application Deadline 15 Sep 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not
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. Visit us on LinkedIn and discover how you can become part of our community. You will be part of both the Natural Language Processing group and the National Police Lab AI , both within the Department
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) Application Deadline 20 Sep 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not
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qualities We are searching for a candidate with the following qualifications: Fluency in Dutch and English; A PhD degree in social and environmental policy sciences or related disciplines; Expertise and
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and (scientific) writing skills. Due to the international character of our research, good command of spoken and written English is essential. We highly encourage applicants from all members of our
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Biological sciences » Biology Computer science » Informatics Computer science » Programming Researcher Profile Recognised Researcher (R2) Application Deadline 16 Oct 2026 - 21:59 (UTC) Country Netherlands Type
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’. The project is part of the Horizon funded programme ‘Reimagining Work and Care: Gender Equality, Couple Dynamics, and Policy Innovation in Europe (REWORC), led by King’s College London and with partners from
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science, spatial analytics, or a related field; experience with diverse spatial analytical methods; strong programming skills (e.g., Python) and version control (e.g., GitHub); experience working with multi
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(UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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architectures; • strong programming skills in Python and experience with a deep-learning framework such as PyTorch, including training and evaluating models on GPU/HPC infrastructure; • experience working with