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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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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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of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms
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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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the applicant through his/her experience and competence is judged to have the abilities necessary to develop within and acquire the doctoral education. Additional qualifications Since the position is funded by
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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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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