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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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of Systems and Control, Department of Electrical Engineering, focused on innovative research in Data-driven Modelling and Optimisation for Fast Charging of Lithium-Ion Batteries. About us At the department
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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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focused on modeling and simulations of turbulent mixed-phase clouds. This interdisciplinary project encourages collaboration with experts in atmospheric physics. The successful candidate will contribute
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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