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the computational imaging group at CWI, where you will have a chance to interact and collaborate with fellow PhD-students and research staff with a background in mathematics, computer science, and imaging science. It
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technical work packages: WP1 Annoyance from wind turbines WP2 Wind turbine noise data collection and analysis WP3 Wind turbine noise source modeling WP4 Wind turbine noise propagation modeling WP5 Wind farm
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. The research group led by Martin Enge is specialized in methodology-driven analysis of patient data, especially in the field of single-cell multiomics. We are a multidisciplinary group with expertise in both dry
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bring: A PhD, or an equivalent combination of qualifications and demonstrated research experience, in Electrical Engineering, Mathematics or related fields, with a focus on power systems engineering
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17th August 2025 Languages English English English We are looking for PhD Position within Investment and Policy Analysis under uncertainty for CCS Value Chains Apply for this job See advertisement
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? The analysis group of the Korteweg-de Vries Institute for Mathematics at the University of Amsterdam is inviting applications for a PhD position in stochastic dynamical systems. The position is part of
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
of dynamic single-molecule datasets from MINFLUX and MINSTED experiments to study biomolecules with optics. MINFLUX and MINSTED have unlocked the door to unique minimally invasive, low-light-level analysis
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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: Framework Development: Design and implement a generative deep learning framework for cross-modal integration and analysis, resilient to distribution shifts. Correlation Discovery: Identify interpretable