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overuse injuries. Wearable sensors to quantify of the impact and benefit of sleep on the recovery, performance and overall wellbeing of athletes. Using big data and machine learning methods to identify
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will use a high-fidelity large eddy simulation (LES) code and scientific machine learning tools, such as real-time optimisers, in order to simulate wind farms exposed to various atmospheric inflows. Some
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close collaboration with the Structural Biology group of Prof. Raz Zarivach (Ben Gurion University, Israel) to determine information on the 3D structure of silicanins and silicanin-based supramolecular
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intensity of these changes. This PhD project will ultimately enable aircraft to reroute safely and efficiently in real time as weather evolves. By merging scientific machine learning, large-scale data
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7 Nov 2025 Job Information Organisation/Company University of Basel Research Field Computer science » Other Engineering » Computer engineering Mathematics » Computational mathematics Researcher
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research as a doctoral student you will be passionate about using large-scale data to address important questions in cancer research, have strong experience of quantitative analyses, and be a positive
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Simulation Framework The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational tools. Our group
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and just future. From forest fires to big data, from obesity to malnutrition, from helium to the universe and from genetics to medicine: our education and research cover the full breadth of science
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that language can be fully expressed in the visual modality. - Using large-scale data-driven methods to recognise and interpret the interplay of speech and other modalities. This could involve training
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Details Title Pre-Doctoral Fellowship (Profs. Laibson/Choi/Beshears) School Faculty of Arts and Sciences Department/Area Economics Position Description Economics professors David Laibson (Harvard