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across the world. We are looking for motivated researchers to join the HDSC/MDSI Tandem Project "Data science at scale: Training neural models with mixed precision solvers." This is a joint project
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of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies We offer The University of Gothenburg is a state authority, which means special benefits, more holidays
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University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies We offer The University of Gothenburg is a state authority, which means special benefits
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student-scholarship holder at the Poznan Doctoral School of Institutes of Polish Academy of Sciences
that will enable the identification of cancer cells experiencing hypoxia. This will allow us to track their fate both in three-dimensional tumor spheroids cultured in vitro and in orthotopic mouse models in
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, process simulation, etc.) Data-driven modelling and/or artificial intelligence modelling ability (e.g. statistical machine learning, deep learning, generative AI, large language models, etc.) Familiarity
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the atmosphere. Your personal sphere of influence: We seek a highly motivated PhD student, who will carry out Lagrangian transport model simulations with FLEXPART, of the emissions originating from rocket launches
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assessment (high consideration is given to experiences with integrated and state-space models, simulations and management strategy evaluations), a good scientific publication record. Experience in marine
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Infrastructure? No Offer Description Challenge: Developing, operationalizing, quantifying, and embedding complex human and legal values into alignment pipelines for AI systems, open-weights, and foundation models
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to internal and external constituents of the Energy Policy Center (EPC). Models techno-economic strategies for energy systems. Develops seminars, workshops and educational materials related to research and
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implementation of a scalable Digital Twin architecture, data acquisition from industrial sensors, development of predictive models, and validation through simulation and experimental case studies. The proposed