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Physics, Applied Mathematics, or Computer Science, with experience in deep generative models (VAE, diffusion) and Python/PyTorch. Applications from statistical physicists are welcome. STILL HESITATING? The
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their protection against physical attacks a major challenge. Among these threats, clock glitch attacks remain a powerful and accessible fault injection technique, especially relevant for IoT and embedded systems due
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physics, microwave engineering, electrical engineering, physics or a closely related field. The ideal candidate will have: A solid background in plasma physics and/or microwave diagnostics; Experience in
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of Precision Health (DoPH). We conduct and support research related to movement, physical activity, physical function and mobility using laboratory-based, free-field, real-world and digital tools in
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Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
to capture the important phenomena for stroke risk prediction while ensuring generalisation to new patients. The CFD solver will use a differentiable physics approach (leveraging automatic
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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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(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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(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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reports for submission to funding agencies Your profile Master's degree in physics, environmental engineering, sustainability or a related field Strong scientific knowledge around the topic sustainability