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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Help shape the future of Swedish hydropower by developing advanced models that capture
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Description Ice and mixed-phase clouds remain a significant challenge for both observational methods and atmospheric modeling. However, recent advances in both areas offer promising opportunities for progress
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Ice and mixed-phase clouds remain a significant challenge for both observational methods and atmospheric modeling. However, recent advances in both areas offer promising opportunities for progress
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Join us to pioneer next-generation generative models that accelerate molecular dynamics. We seek a postdoctoral researcher to develop AI surrogates for molecular dynamics (MD), slashing
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Biology, Department of Life Sciences, to develop intelligent systems that integrate metabolic modeling, omics analysis, and automated literature mining. About us The Department of Life Sciences conducts
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
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imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected
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modelling. At the division of Applied Chemistry , we primarily focus on applied research, that is, research aimed at addressing societal challenges and that is ready for implementation either immediately or
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combines metabolomics, microbiome science and computational modelling to develop new food intake biomarkers and to understand individual metabolic responses to diet and develop personalized nutrition
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at the Division of Chemical Physics is at the forefront of synchrotron-based operando investigations of defined model catalyst surfaces for energy conversion, both in thermal and electro catalysis. The operando