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Field
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
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programme aim to systematically unravel the mechanisms that allow the retina to successfully reconcile high energy demands with information processing capacity. For more details on projects and training
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the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In the Department of Mathemathics and Natural Sciences in
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with reducing and oxidising gas-phase species (e.g. laser-based imaging diagnostics, setup of model reactors, modelling of underlying reactions, multi-scale simulation of reactive fluids, computational
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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | 14 days ago
19 Sep 2025 Job Information Organisation/Company AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research Research Field Agricultural sciences Biological sciences » Biology
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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like to more widely explore the possibility of computer simulations to refine the targeted synthesis even more and predict the self-assembly even better. Who we are · The Research Training Group RTG2670
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24 Sep 2025 Job Information Organisation/Company Universität Heidelberg Department Institut für Theoretische Physik Research Field Physics » Other Computer science Researcher Profile First Stage
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, process engineering, chemical engineering, energy technology, or a related field Proven expertise in modeling and simulation; familiarity with CFD tools such as COMSOL, Ansys Fluent, or OpenFOAM Excellent
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the following fields: PhD in Atmospheric and Oceanic Science and Technology Female applicants and candidates from less privileged regions or groups are especially encouraged to participate in the programme