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: www.scilifelab.se/data-driven . Project description The position will be associated with the Wallenberg (DDLS-WASP) project Machine-Learning how our Cells Capture Energy - Data-Driven Studies of Membrane Protein
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been directly mapped. This PhD position at Stockholm University focuses on leveraging machine learning (ML) to identify errors in large bathymetric datasets and applying ML techniques like "super
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based on real load models together with privacy-preserving machine learning methods. The proposed methods will be demonstrated at Dansmästaren, a test bed for research on smart EV charging and energy
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Description In this project we will extract affordable potentials from expensive DFT results through machine learning (ML) to accelerate nanomaterial growth in MD simulations. Such interactomic potentials
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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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education within a growing area encompassing Data Science, AI, Machine Learning, and its applications. About the research This position is part of a joint collaboration between the two of the largest research
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, machine learning, information security, and data analysis. Further, experience with federated learning, transfer learning, GAN, and programming of distributed systems is helpful. The application must
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analysis and machine learning. Active researchers in Artificial Intelligence include Thomas Schön and David Sumpter (machine learning); Ida-Maria Sintorn and Carolina Wählby (AI and image analysis); Ginevra
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with a strong background in system security, formal verification, and/or machine learning to apply for two PhD positions, funded by Wallenberg AI, Autonomous Systems and Software Program (WASP
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Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an institution affiliated with both the Faculty of Engineering (LTH) and the Faculty of Science