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Apply now The Faculty of Science / the Institute for Biology is looking for a : PhD candidate Genomics and Functional Genetics of Temperature-dependent Egg Development Time in Insects. Vacancy
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate, Secure Computation Technologies and Applications to Machine Learning
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student, you will be embedded in the research groups Computational Imaging and Deep Learning (CIDL) and Applied Quantum Algorithms (aQa), part of the Leiden Institute of Advanced Computer Science (LIACS
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master’s degree or equivalent in computer science, data science, AI, computational social science, or a related field. You have a keen interest in algorithms, ML, and AI, well-developed skill set in
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field; Affinity with formal methods, including an understanding of basic of automata theory, formal languages, algorithms, and computability --- i.e., foundational computer science theory. Candidates with
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bacteria and plant. Project description We are hiring a PhD candidate to join our ERC-funded team on chronomicrobiology, a new field that bridges microbiology and chronobiology. The MicroClock program
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development and regeneration (1.0 FTE) Description of the project The opening is for a research position within the field of mathematical or theoretical biology, computational physics, applied mathematics
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and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. For international spouses we have set up a dual career programme. Candidates
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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
regular meetings of the project research group; You will participate in the training programme of the LUCAS Institute, the Leiden Graduate School of Humanities, the National Research School in Classical
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded