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). Fellows4Fungi – Exploring fungal pathogens within unexplored microbial networks is an international postdoctoral programme co-funded by the Marie Skłodowska-Curie Actions (MSCA COFUND). The programme is focused
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Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in sociology, social psychology, computational social science, computer science, information science, data
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agreement. The successful candidate is expected to take a leading role in the development of the group tasks and help in supervising PhD students. Applicants must have a PhD in experimental high energy
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will use finite volumes methods combined with physics-informed neural networks (PINNs) which offer a flexible technique that merges data-driven approaches with the underlying physics principles, enabling
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-flows. Basic Qualifications: PhD in mathematics, computer science, engineering, or related field earned within the last 5 years. Preferred Qualifications: Experience with mesh generation/CFD applications
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international network includes researchers from our sister centres: the International Tax Observatory in Paris, and CenTax in the UK. As well as numerous research fellows at Columbia University, University
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 5 hours ago
comprehensive analysis simulations using CAMRAD II at Mars aerodynamic conditions Post-processing and analysis of DNS, CFD, or comprehensive analysis datasets Geometry creation and mesh generation for simulations
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connections to the LEAD Graduate School & Research Network, the Tübingen School of Education, the Tübingen AI Center, and external partners such as the ELLIS Institute Tübingen and the Leibniz‑Institut für
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), Multilayer Perceptron (MLP), Autoencoders, Convolutional Neural Networks (CNNs), and Kolmogorov–Arnold Networks (KANs). Desirable knowledge of Gradient Boosting models such as HistGBM, LightGBM, and XGBoost
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computational approaches to chart and understand the gene regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational