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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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when it develops protection upon vaccination. This will require further developments of machine learning methods of the transparent type. The PhD student is expected to be involved both in building
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machine learning methodologies to extract conformational ensembles from single-particle cryo-EM data. The project builds on our recently established (not yet published) software, which machine-learns
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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