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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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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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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