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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
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large family of membrane proteins involved in numerous physiological processes. By leveraging machine-learning enhanced virtual screening, the PhD student will be able to perform searches for ligands in
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application, which project you are applying for. Project 1: Understanding macrocycles’ cell permeability by machine learning. The objectives of this subproject are to use machine learning to develop fast and
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. Our research integrates expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience
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place great importance on personal suitability as well as motivation and the ability to independently conduct research studies. Previous experience in modeling and simulation, machine learning/AI, high
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user studies are valued. Experience with large language models and machine learning for human-robot interaction is valued. Rules governing PhD students are set out in the Higher Education Ordinance
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PhD degree in economics with broad experience in conflict research. The PhD degree needs to be obtained by the time of the decision of employment Excellent skills in quantitative methodology and machine