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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Materials science and technology are our passion. With our cutting
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 days ago
1 Nov 2025 Job Information Organisation/Company IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava Research Field Computer science Researcher Profile Recognised
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2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Design
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that is helping to catalyze and support researchers in other countries leading national decarbonization modeling studies inspired by the NZA study. Currently, Princeton is collaborating on NZx studies
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for computing properties of nuclei. Prepare nuclear data for consumption by machine learning models. Investigate the use of machine learning models to compute properties of nuclei using high-performance computing
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) Country United Arab Emirates Application Deadline 13 Nov 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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models for microelectronics materials Curate, manage, and integrate heterogeneous datasets from experiments and simulations Collaborate closely with experimental teams to benchmark and refine computational
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into their models; or 2.Computational social scientists with experience in empirical research and/or theoretical modeling, who are motivated to incorporate their methods into energy modeling. All applicants must
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global climate action through modelling and data-driven Antarctic research 3 year fixed-term full-time role based in Hobart with relocation assistance considered About the opportunity We are looking for a
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We are seeking to appoint a Senior Postdoctoral Researcher in Statistical Machine Learning and Deep Generative Modelling to apply and develop cutting-edge deep generative probabilistic models