31 parallel-computing-numerical-methods-"DTU" positions at Leiden University in Netherlands
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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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their applications to problems in natural sciences (physics, chemistry) and practical computing (machine learning, AI, optimization), and methods to make them compatible with near-term quantum devices
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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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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate in AI for Network Analysis (1.0 FTE, 4 years) About this position
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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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the interdisciplinary research programme GroenvermogenNL, which supports the large-scale development and implementation of green hydrogen in the Netherlands and across Europe. The programme addresses the system-wide
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-doctoral scientist to join our ERC-funded team on chronomicrobiology, a new field that bridges microbiology and chronobiology. The MicroClock program builds on our novel discovery of a circadian clock in
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positions for the 25-26 academic year. The candidate will teach courses independently or lead workgroups. We have needs for instructors with expertise in quantitative methods, qualitative methods
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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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; Experience applying quantitative research methods, ideally using LLMs, NLP, ML, and/or computational algorithms; Available to travel outside the Netherlands if necessary; Demonstrated good time-management