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position on vulnerability and adaptation to climate change inside the Mediterranean Ramsar network. The Tour du Valat is a research institute for the conservation of Mediterranean wetlands based in
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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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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 23 hours ago
qualified Post-Docs interested in Computational Social Science. This application call is targeted to the broad topic of artificial intelligence, computing, and society. Research Themes and Teams The Network
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of Experimental Biology, PAS Type of recruitment: NCN Maestro Requirements: Education: PhD in Neuroscience or Bioinformatics; Professional experience: behavioral and/or molecular neuroscience; or bioinformatics
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of collaboration with top researchers within cybersecurity, networking, AI planning, and cloud computing, both within our department and two other universities in Sweden (KTH and Umeå University). The project is
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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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innovation at the service of education and development. This nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment
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Studies), it examines the role of private companies, their relations with the public sector, and governance disputes. Activities The postdoc will map sociotechnical networks, analyze actors, and produce
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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