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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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-molecular-biology . Read more about our benefits and what it is like to work at Uppsala University. Duties In Senior Professor Komorowski’s bioinformatic group the research focus is machine learning for Life
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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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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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simulations of superconductivity in real materials. Duties The research tasks include the development of theoretical models and of computer simulation programs. The areas to which the PhD student can contribute
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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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with a direct connection to each other must be examined. 1) A completely new type of technology for computer and mobile phone screens is to be developed. In the project, dynamically tunable metamaterials
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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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efficient scheduling, in particular for real-time systems. Scheduling theory mixes aspects of theoretical computer science, operations research, and computer engineering. The project aims to carry out basic