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- 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 Job related to staff position within
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(or equivalent) in Computer Science, Artificial Intelligence, Engineering or a closely related field; Solid background in machine learning and/or evolutionary optimisation; strong programming skills (Python/C
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methods. They will be responsible for characterizing the mechanisms of novel bioactive compounds and the medicinal chemistry optimization of these molecules. The candidate will be trained in a variety of
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(or equivalent) in Computer Science, Artificial Intelligence, Engineering or a closely related field; Solid background in machine learning and/or evolutionary optimisation; strong programming skills (Python/C
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PhD candidate in Design and synthesis of pyrophosphate mimetics to study enzymes involved in natural
by ADP-ribosyltransferases of the PARP family, while ADP-ribosylhydrolases remove the ADP-ribose residue. Understanding the detailed mechanisms of such modification and demodification is vital
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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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Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a PhD student to join our
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The successful applicants will work as part of the Groeien met Groen Staal (GGS) programme, which aims to make the Dutch steel sector CO₂-neutral by 2050. Steel is crucial to modern society and plays a significant
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Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science, is looking for a: PhD Candidate, Efficient LLM Algorithm, Hardware and System Design (1.0 FTE) Project description We