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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open
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Associate Researcher in Neuropsychology and Motor Learning Login and apply This content is hosted by a third party. By showing the external content you accept the cookie terms and conditions of
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Skip to content Bioinformaticians in advanced Machine Learning and AI Stockholm University Share: Facebook Twitter LinkedIn Email Application deadline August 23, 2026 Read more and apply SciLifeLab
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built around a network of top-scientists with expertise in polymer science, adhesives, technology, and sustainability located at the Department of Forest Bioeconomy and Technology at SLU ( https
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Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments The postdoctoral researcher will develop machine
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PhD in Materials Science Norrkoping Reference number LiU-2026-03852 Join us in developing machine-learning accelerated simulation methods to understand and optimize interfaces in hybrid organic
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and Artificial Intelligence (RAI) ( https://www.fieldrobotics.eu/ ) based at Department of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Wallenberg
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position at the School of Science and Technology. Subject area The subject area for this position is Computer Science, with a focus on machine learning and signal processing applied to proprioceptive
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Computer and System Sciences Subject/subject description Machine learning is concerned with developing and applying algorithms that enable computers to learn patterns directly from data, without being
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Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including temporal data