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, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers and industry. Work duties: The project focuses
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affect biodiversity and ecosystem services, as well as on existing tools for modeling such effects. In collaboration with project partners, the postdoctoral researcher will evaluate how biodiversity and
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mechanistic modelling, the project seeks to advance fundamental understanding of how complex environmental perturbations influence infectious disease emergence, spread, and persistence across coupled human
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diagnosis of gas turbines. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components
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sciences and novel manufacturing techniques is the key to improved heat transfer mechanisms and more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students
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into consideration. We are looking for a candidate with a PhD in Electrical Engineering, Engineering Physics, Mathematics, Computer Science, or a related field, with expertise in programming, physical modeling
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their EVs stimulate or regulate immune responses. They will also investigate if EVs can be used for cancer immunotherapy. The studies will be performed in model systems in vitro and in vivo. The studies will
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Postdoctoral Position and Postdoctoral Fellowship (2yrs) in Intracellular Host-Pathogen Interactions
trachomatis and either host cell-autonomous immunity or advanced culture models. ENVIRONMENT The postdocs will join the group of Dr. Barbara Sixt (Sixt Lab ), a highly international research team that is
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and virtually. In doing so the traditional energy-supply business models will also evolve, as these plants will be able to stack additional revenues from their flexibility and capacity to perform sector
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responses, governance models, and ethical frameworks shaping the integration of AI in higher education. We especially encourage research that combines socio-technical perspectives with quantitative methods