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Description of the offer : Spin triangles are magnetic molecules predicted to display spin chirality, magnetoelectricity and protected quantum degrees of freedom. These characteristics could allow
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-of-the-art in silico protein structure prediction methods and in vitro screening approaches will be used to systematically elucidate the amyloidogenic potential of the gut metaproteome. Specifically, gene
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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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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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controlled via structural phase transitions or external fields. The successful candidate will develop and apply a range of theoretical and computational methods based on first-principles electronic structure
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models is a strong plus Familiarity with super-resolution imaging techniques and/or proteomics workflows is a strong plus Strong computational and organizational skills, with attention to detail High level
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progression. This project addresses the challenge of studying early tumorigenesis in pancreatic cancer by developing advanced in vitro models based on human extracellular matrix (ECM), aiming to recreate
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. In particular, the research project will focus on inferring trajectories from spatial transcriptomics data modelling at the same time the cells evolution in gene expression and in space. Required
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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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are prevalent in both type 1 and type 2 diabetes and are associated with poor glycemic control and increased risk of complications. The Deep Digital Phenotyping (DDP) Lab is pioneering a new generation of digital