33 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at University of Groningen
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are looking for motivated candidates who can bridge system modelling, control and optimization with psychological theories and are confident with calculus, probability, statistics, control, and optimization. In
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Postdoc in energy systems modelling and optimization (V25.0156) « Back to the overview Job description Are you passionate about shaping the future of energy? We're looking for an energetic
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. The focus involves expertise in energy modeling, optimization and analyzing diverse energy mixes, primarily emphasizing hydrogen-based systems. As we move toward cleaner energy systems, the way we plan and
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collaborative, leading-edge projects within expansive energy consortia. The focus involves expertise in energy modeling, optimization and analyzing diverse energy mixes, primarily emphasizing hydrogen-based
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assembly, recognition, transport, motion, and catalysis. The goal is to create new structures and functions, with an emphasis on molecular switches and motors, dynamic molecular systems, responsive materials
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dynamics in living cells. What The successful applicant will work on a multidisciplinary project aimed at characterizing the role of RNA structural ensemble dynamics in driving cell fate decision
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‘RobotLab’, large numbers of experiments can be carried out, yielding large datasets on properties of molecular systems. With this data, ML models are trained to predict the properties of molecular systems
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. The DELPHI project, a collaboration between UMCG, UG, Health-Ecore and Protyton, aims to advance lung cancer treatment using molecular modeling and computational analysis for personalised care. DELPHI seeks
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research. You will be part of a dynamic, multidisciplinary team specializing in computational mass spectrometry, proteomics, and glycomics. Your Role As a Postdoctoral Researcher, you will play a key role in
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position offers an exciting opportunity to work at the intersection of bioinformatics, mass spectrometry, and AI-driven cancer research. You will be part of a dynamic, multidisciplinary team specializing in