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courses at the University of Lille and the IUT. The microbiology lessons will be primarily within the biological engineering BUT (Bachelor of Technical and Applied Studies). Furthermore, lessons will also
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the Spintronics and Component Technology Laboratory (SPINTEC) and micro- and nanomagnetism at the Institut Néel. We expect that the candidate has knowledge and practical experience of micromagnetic simulations
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for adaptive immunity, anti-infectious vaccines and vaccine technology. Motivation to work with pre-clinical model of vaccination and infection based on animal experimentation. English speaking and
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part of the Faculty of Science, Technology and Medicine of the University of Luxembourg. DLSM is coordinating all teaching programmes in the life sciences, medicine, nursing and midwifery. Research
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train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some
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Discrete geometric representations such as meshes are a crucial part of engineering simulation pipelines. The success and fidelity of numerical methods heavily depend on the accurate representation
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established expertise. In particular, this research work will build on breakthrough technology developed by the research team through the SequoIA startup initiative, currently in its prematuration phase
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this technology for capturing and processing the pulse of a city. In particular, in many applications, DAS suffers from the multi-source aliasing problem and low-frequency noise, especially in noisy environments
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shared with the broader scientific community. As the head of the Algorithmics, AI, and Mathematical Modeling group within the Bioinformatics and Biostatistics Hub, the recruited engineer will focus
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5234 Fundamental Microbiology and Pathogenicity (MFP) Teaching Assignment: College of Science and Technology - Biology Teaching Unit Duration: 5 years with pathway to permanent professorship upon