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experts and annual PhD symposia. The PhD project interfaces two rich fields of research: Physics of Living Matter and Physics of Complex Systems, with an overarching goal to understand the host-microbe
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processes involved in protein aggregation, molecular interactions and protein folding In Particular: The candidate will have an MSc or equivalent degree with a strong academic background in Physics, Physical
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profile described below? Are you our future colleague? Apply now! Education PhD in Computer Science with a focus on AI and/or cybersecurity Experience and skills 1-2 years of post-PhD research and
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transferable skills, support for career development, lectures and teaching by international experts and annual PhD symposia. The PhD project interfaces two rich fields of research: Physics of Living Matter and
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interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering
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achieving lower system costs. More information on the project: https://radarmimo.com/4d-imaging-automotive-mimo-radar/ The selected PhD candidate will work on one of the following research topic: Optimal
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
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cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners. The PhD candidate will investigate how AI and above all Generative AI (GenAI) can be leveraged
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susceptible to SM, VWC, and atmospheric delay. As a result, the objective of this PhD project is to develop models able to fuse backscattering and phase information to estimate SM and VWC more accurately. The
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interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering