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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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implement innovative solutions to enable seamless operation in connected and autonomous mobility use cases. - Validate research outcomes through a combination of high-fidelity simulations and
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established in France in 2019 and awarded an "AI Clusters" grant in 2024. The mission of the 3IA Côte d’Azur Institute is to foster cutting-edge research in Artificial Intelligence and to provide high-quality
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science, pharmacology, biomedicine or related fields Demonstrated expertise in computational modelling Experience with molecular dynamics Interest in interdisciplinary science Experience in working on High-Performance
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, including the development and use of 3D models and the study of extracellular vesicles Analyze high-throughput data sets using R or similar software Present research findings in meetings Document performed
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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neurons Perform functional genomics experiments (also at single cell level) and contribute to their computational analysis Communicate research results in international conferences and journals Work
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control
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Digital History (C²DH) at the University of Luxembourg is an interdisciplinary research centre committed to high-quality research and public dissemination in the field of contemporary history with a
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patient clusters and digital phenotypes, leveraging machine learning approaches to identify individuals at high CV risk based on clinical and biochemical markers, immune markers, digital health data (e.g