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which diversity and inclusion are lived. Flexibility: We demonstrate flexibility not only with the various working time models but also through the offers for the compatibility of family and career. We
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of emotion regulation, employing methods ranging from in vitro to in vivo models and clinical patient data. Across all these approaches, we maintain a strong emphasis on brain/body interactions, thus tying
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
Innovation (IRMII). Research in this area involves the development of computational models that characterize and manage financial risk in a wide range of contexts, from flooding to pandemics to cyberattacks
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knowledge of data analysis and processing, programming, and development of analytical models. Experience with databases and quantitative analysis tools. Ability to work with large datasets and computational
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, Machine Learning, or related areas. - Knowledge of Large Language Models and Retrieval-Augmented Generation. - Experience or interest in Knowledge Graphs, Semantic Web technologies, information retrieval
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-level power, thermal and energy-efficiency models for future heterogeneous computing systems built on advanced CMOS technologies What you will do Continued technology scaling and the integration
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Institute for Health and Care Research (NIHR). The intervention was previously tested within a feasibility study. (https://www.journalslibrary.nihr.ac.uk/hta/MWTQ5721 ). The trial is led by Professor Peter
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initiative with the goal of developing, training and making available high-quality open foundation models with hundreds of billions of parameters, adapted to Swedish linguistic characteristics, cultural
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collaboratively building new generations of world leading simulations. As such, we are particularly interested in candidates who wish to develop or deploy new numerical methods, subgrid models, or applications
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others to adapt effectively in the iterative research process. Grow a peer network where sought out as having solid command of disease and risk factor modelling methods, key indicators, and the related