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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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collaborations with academia, industry, and society. The Data Science & AI division within CSE engages in research and education within a growing area encompassing Data Science, AI, Machine Learning, and its
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Uppsala University, Department of Information Technology Are you interested in working in the area of scientific machine learning, with the support of competent and friendly colleagues in
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-up driven research environment. To further strengthen our numbers, we are now looking for a postdoctoral researcher in machine learning. Our workplace consists of a diverse set of people from different
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direct connection with NGI Stockholm . Subject field Computational biology with a focus on machine learning for multimodal molecular biology data. Subject description The subject covers the development and
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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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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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. Desirable and meritorious: Postdoctoral experience. Practical experience in multivariate statistics, machine learning and statistical modelling. Experience in teaching and development of teaching material
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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