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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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and students from all over the world. Our research spans from evolutionary ecology and genetics to ecosystem studies. Learn more at www.ieg.uu.se . We are now looking for a PhD student in evolutionary
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genetics to ecosystem studies. Learn more at www.ieg.uu.se . We are now looking for a PhD student in evolutionary genomics, with specific focus on diversity and evolution on lichen-associated basidiomycetes
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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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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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robotics and human-robot interaction (Ginevra Castellano and Katie Winkle), LLMs and deep learning (Ekta Vats), and privacy and cybersecurity (Boel Nelson). Duties The successful candidate will work with
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abilities necessary to develop within and acquire the doctoral education. Additional qualifications We are looking for a highly driven person, who shows clear signs to perform research work independently and
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English in speech and writing. Applicants not fluent in Swedish are expected to learn Swedish during their time as PhD-students. For some specific projects, it may be a required that the applicant masters