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reproducible research. Relevant expertise may include NLP, large language models, computational social science, social-network analysis, causal inference, survey or behavioral experiments, recommender systems
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the past few decades, remarkable progress has been made toward constructing functional quantum processors. However, to build fully capable quantum computers and networks, a wide range of complementary
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-source geospatial data (e.g., network, satellite); experience with GIS and GeoAI-related model development and evaluation; an interest in GIScience, health inequality and health system resilience; strong
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Martina Schroeder’s research group at Maynooth University and her national and international collaborators on a HRB-funded project that aims to generate a hiPSC-based preclinical model for DDX3X syndrome, a
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human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research
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or neural networks) on CFD data to develop a fast, data-driven wind field predictor. You will combine this surrogate model with AeoLiS and evaluate the accuracy of the new model setup by applying it to
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areas for offshore windfarm development from Clew Bay to the north coast of the island of Ireland to the northern Irish Sea. Building on a model for NW Ireland, the researcher will collate all available
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human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 14 hours ago
Relativity (ACR) department at the Albert Einstein Institute (AEI) in Potsdam works across the full chain of that transition — from first-principles modeling of strong-field gravity, through numerical
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Pompeu Fabra in Spain, Prof. Gustav Eje Henter at KTH Royal Institute of Technology in Sweden. The collaboration network has a strong background in speech and audio synthesis, deep generative models, and