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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description We are looking for a Postdoc in Machine Learning who will conduct research focussed
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that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from control theory, machine learning, optimization
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algorithms. Our research integrates expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems
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multi-disciplinary research at the intersection of robotics, machine learning, artificial intelligence, computer vision, and computer science. The project looks at how investigates how robots and
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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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systems, connected devices, and distributed applications poses several challenges in dealing with petabytes of data in diverse resource-constrained environments. Federated machine learning (FML) is a
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applications poses several challenges in dealing with petabytes of data in diverse resource-constrained environments. Federated machine learning (FML) is a collaborative learning solution to handle
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looking for a senior lecturer in the field of Computer Science. The division has about 50 employed researchers, teachers and doctoral students who together research and teach in computer science and