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- by identifying and validating novel regulators of treatment resistance at both preclinical and clinical levels. The recruited scientist will have access to clinical samples and multiple mouse models
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profiles Assess the risk of invasiveness (e.g., pyelonephritis and urosepsis) Job description Key Responsibilities: Develop and implement ML models to analyze high-dimensional metabolomics data Design and
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models and novel analytical tools. Job description Key Responsibilities: Design, develop, and implement machine learning and deep learning algorithms to analyze large-scale clinical and biological datasets
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interdisciplinary teams, including material scientists, physical chemists and computational material modelers Prepare manuscripts, reports, and presentations to disseminate findings Profile Qualification PhD in
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material modelers Prepare manuscripts, reports, and presentations to disseminate findings Profile Qualification PhD in chemical/process engineering, materials science, chemistry or closely related field
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of managing strains for independent projects, including genetically modified mouse models. Stereotactic viral injections. Experience in molecular biology. Strong analytical skills and ability to work
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professor or department chair. Associate fellows may agree to integrate early-career fellows into their group part time and provide infrastructure for their project. The letter of support details why and how
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of the candidate Exact PhD defense date (Eligibility window: PhD + 5 years. For flexibility for maternity/paternity leave please check the guidelines) Current country and university the candidate is affiliated with