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phenotyping of health outcomes at multiple time-points. S/he will work within a diverse, highly collaborative, and multi-disciplinary research environment and interact with world leaders in the fields of cancer
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microbiome has direct relevance for human health. Bile acids (BAs) offer a powerful, tractable window into these questions. Synthesized in the liver and released into the gut, host-derived BAs undergo multiple
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—and fosters a multicultural environment (40% women; representation from three continents). Our lab’s strength lies in integrating multiple disciplines: Single-cell microfluidics Quantitative (image
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! The Clinic focuses on inflammatory diseases of the central nervous system, especially multiple sclerosis. As part of the Department of Neurology, we study the pathogenesis and treatment of this and other
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laboratory experimental experience. · You have programming experience, knowledge of Python and Git is a plus. · You have a proven ability to write high-quality scientific papers. Language
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simulators. Proficiency in Python, including data handling (pandas, NumPy), visualization (matplotlib) and integration within simulation workflows. Understanding of sector coupling (e.g. P2G, P2H), energy
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fundamental drivers of metastasis, drug resistance, and other key cancer outcomes. Projects will be tailored to the candidate’s strengths and interests, with multiple creative, high-impact directions available
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experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and deployment
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actively contribute to the WeForming and EnerTEF projects. WeForming and EnerTEF propose developing automatized and intelligent solution for operating active distributed grids with multiple active asset6s
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for plants and Physics. A background in plant ecophysiology would be ideal, but is not required. · You have programming experience, knowledge of Python and Git is a plus. · You have a