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introduces an unexplored therapeutic target in cancer. About the project/work tasks: Determine the expression of scramblases (PLSCR1, TMEM16F, Xkr8) using highly standardised GBM stem cell models. Visualize
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project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict health disparities under different climate change scenarios
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/work tasks: The position is part of the Belmont Forum project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict
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archaeological excavations and dating with climate modelling on the one hand and research on human minds and sociality on the other. The PhD position will be part of an interdisciplinary project with the goal
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under the “Cryptographic elements of trustworthy AI” project. The main research objectives for the project are the following: Analyze security of Machine Learning (ML) models against data modifications
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language. Qualifications and personal qualities: The applicant must possess a Master`s degree or an equivalent in molecular biology, genetics, global health or completed veterinary/medical studies
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years ago. Its main goal is to unravel where, when, and why early humans started to think and behave the way we do today, by combining archaeological excavations and dating with climate modelling
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reformulated in such a way that loads, boundary conditions and constitutive models are completely or partially replaced by some form of experimental data. The research activities associated to the position