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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 chemical libraries
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subjects are valued: optimisation, probabilistic machine learning, linear algebra and deep learning. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in
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knowledge in microbial ecology or ecology. You should show a keen interest in learning machine-learning and other AI methods. The working language is English and excellent communication skills in English
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, and statistic are merits as well as documented knowledge in microbial ecology or ecology. You should show a keen interest in learning machine-learning and other AI methods. The working language is
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opportunity as an Industrial PhD student to work on a project that applies machine learning to improve diagnostic and reporting workflow processes in clinical kidney pathology. This project is a collaboration
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study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. One Ph.D. position is available in cancer precision medicine using advanced machine learning
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machine learning, artificial intelligence, computer vision, or data science previous experience in ecological modelling experience with working in multi-national research and infrastructure programmes
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School of Electrical Engineering and Computer Science at KTH Job description Research in collaboration with medical doctors for patient data analysis using machine learning has a high impact on
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ecological research with genetic data previous experience in machine learning, artificial intelligence, computer vision, or data science previous experience in ecological modelling experience with working in
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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 protein