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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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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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Profile: University degree (M.Sc., diploma or equivalent) in materials science, engineering sciences, or physics Experience in at least one of the methods of X-ray imaging, transmission electron microscopy
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’ mentality, independent, and communicative team player; Experienced with writing scientific manuscripts and good academic writing skills; Excellent programming skills (preferably Python); Excellent proficiency
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Apply now The Faculty of Science and the Leiden Institute of Physics (LION) are looking for candidates for a: PhD in Machine Learning for Quantum Systems (1.0 FTE) Vacancy number: 15735 We
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research infrastructure. Selected candidates will benefit from the ICN2 PhD Programme, which comprises a structured training path with scientific seminars, and technical and transferable skills training
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spectrometry, and untargeted data science workflows. Proficiency in chemometric methods and/or python programming will be an advantage. Candidates are expected to be enthusiastic and adaptable to working in
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preferably has strong programming skills and experience with the modeling and simulations of fluid or solid mechanics or ice sheet flow and deformation (for example by use of finite element/volume methods
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group is focused on developing new computational methods for the prediction of chemical reactivity. The group is a part of Department of Chemistry, Faculty of SCIENCE, University of Copenhagen. We
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that equips and empowers children, adults, families, and communities to understand and intentionally apply the science of wellbeing, intentional practice, trauma, resilience and growth for themselves