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, 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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and in pathological models, we aim to establish direct links between molecular determinants and muscle physiopathology Detailed Description of the Project : Not all muscles in the body are equivalent
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on representation stability, interpretability, and efficiency.Despite their success, self-supervised approaches and foundation models still lack a thorough theoretical understanding. This project aims to bridge
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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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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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questions in origins-of-life research. Meteorites provide evidence that this molecular asymmetry predates Earth’s formation, possibly originating in cold, water-rich ices irradiated by circularly polarized
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Wikibase instance Curate and model historical migration datasets within the dedicated Wikibase instance Contribute to the design of ontologies and metadata schemas for the knowledge graph Develop data-driven
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, traditional risk prediction models like the Steno Type 1 Risk Engine fail to account for the immunological dysregulation inherent in T1D. Project Objective The PhD candidate will primarily focus on the clinical
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) Experience with cell culture, Western blotting, molecular cloning is a prerequisite Curiosity, attention to detail, persistence and good organizational skills Fluency in English is required We offer
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innovative research utilizing wet-lab techniques, 3D models, and extracellular vesicles to advance our understanding of drug resistance in melanoma. Your responsibilities: Conduct wet-lab research in melanoma