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group develops theory, methods and software for data-driven science, with a current focus on uncertainty quantification in large pre-trained models (vision-language models), generative models (flow
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analysis pipelines used to acquire and quantify high-throughput binding data. Examples of suitable backgrounds: Optical engineering, hardware-software integration, image analysis. Sequence library design
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/ Postdoctoral position in simulation-based inference for particle physics Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of
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The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research
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apply SciLifeLab / Careers / Postdoc in Developing AI/ML workflow for quantitative analysis of lipid nanoparticles School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job
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at the Division of Molecular Medicine and Virology , Department of Biomedical and Clinical Sciences, at the Medical Faculty of LiU. The Lab is also part of the Wallenberg Center for Molecular Medicine