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Join us to decode how genetic variation reprograms brain cells and disrupts their communication using AI Job description We are looking for a PhD student to work at the intersection of machine
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, the scattering geometry can be reconstructed mathematically (this is called inverse scattering). This requires both sophisticated mathematical models and efficiently implemented algorithms. In the case of wafer
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The Leibniz Institute for Prevention Research and Epidemiology – BIPS, Department Statistical Methods in Epidemiology, offers a position as a Statistician/Biometrician (PhD student) m/f/d/x Salary
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( phenoconversion ). Within this project we aim to improve our understanding of the impact and mechanisms of phenoconversion in clinical practice. Moreover, we aim to evaluate how advanced in-vitro models, endogenous
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) with an interest in ecology and evolution Demonstrated experience with mathematical modelling, and an ability to learn new concepts and (computational) methods as needed Affinity with scientific computer
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Research themes: Cyber Security, AI, Decentralized Systems, Applied Cryptography UK students This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an
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experimental chemistry. Additional training in a wide range of soft and hard skills is available at the University. What you will do: This PhD project aims to bring together multi-scale modelling and data-driven
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Modeling: Develop detailed mathematical models to describe and predict polarization behavior in array antennas. These models will serve as a foundational tool for understanding key factors affecting
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order to better understand, explain and advance society and environment we live in. Your role The PhD student will develop and apply computational multiscale models to investigate brain energy metabolism
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, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https://emploi.cnrs.fr/Offres/CDD