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lines, mouse, and non-human primates to understanding how disease mechanisms can operate during host-virus/co-morbid conditions. The incumbent will perform experiments, analyze data, write scientific
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of obligate intracellular bacteria, including Ehrlichia and Neorickettsia spp. We use a mouse model to study the disease pathogenesis in the mammalian hosts. We also work with blood samples collected from
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critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational electrophysiology to translational models
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CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in
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conditions, identification of vulnerabilities, and development of resilience enhancement strategies. Contribute to the design, development, and implementation of new models, methods, and algorithms
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state. The project will specifically investigate the role of endogenous retroelements in this context. Immune-functional consequences will be studied using in vivo mouse models, and in cell culture
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Postdoctoral Researcher in Citizen Science & Societal Engagement for an Inclusive Energy Transition,
models for upscaling of the heat transition", and you will be primarily involved in the Work Package that focuses on "Effective and inclusive citizen engagement and support for scalable PED designs
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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
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artificial intelligence for advanced modeling and analysis. The successful candidate must be self-motivated and can think broadly and conceptually and formulate creative, sophisticated solutions to complex
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well as collaborator data and publicly available data from an array of cities. As such, the postdoc should have strong experience working with large datasets, modeling ecological data, and maintaining national