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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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the contract period is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of the Faculty. The preferred start date is between 1
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the modelling and prediction of the dynamic interaction between proteins and small-molecule ligands, such as hormones, neurotransmitters, or therapeutic drugs. The computational representation
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, complex networks, statistics, systems theory, computational science, and artificial intelligence with applications in health care, energy systems, traffic, and imaging. Please click the following links
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models. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience a and strong deep learning programming skills. Ability to work in an
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, Mathematics and Computer Science (EEMCS). We work on next-generation power electronics, energy systems for smart grids, advanced battery electronics and management, power devices, power and energy measurements
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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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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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Introduction Description of the research program Transplantation is the preferred treatment for patients with end-stage kidney disease. However, many transplanted kidney transplants fail prematurely. This leads
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-proof. You will contribute to the CYCLIC project : Cyclic Structures in Programs and Proofs , a collaboration among five Dutch universities, uniting experts in cyclic structures, coinduction, program