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NLP, machine learning, and deep learning. Excellent programming skills (preferably in Python), with experience in fine-tuning language models and working with deep learning frameworks (e.g., PyTorch
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programming skills (preferably in Python), with experience in fine-tuning language models and working with deep learning frameworks (e.g., PyTorch); Interest in interdisciplinary research (e.g., HCI
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, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
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3 Oct 2025 Job Information Organisation/Company Leiden University Research Field Computer science » Informatics Computer science » Programming Researcher Profile First Stage Researcher (R1) Country
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(R1) Country Netherlands Application Deadline 15 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by
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Netherlands Application Deadline 9 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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Stage Researcher (R1) Country Netherlands Application Deadline 9 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Is the job funded through the EU Research Framework Programme
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2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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attain a PhD degree (dr.) at Leiden University. You will participate in the education and supervision program of the Leiden Graduate School of Science. Selection Criteria The successful applicant should be
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PhD position understanding and designing nanomedicines-membranes interaction: physics based approach
(or an equivalent thereof) Good communication skills in English Ability to work efficiently, both independently as well as in a team Previous experience in the fields of soft matter or biophysics, quantitative image