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Field
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, UM6P aims to position these fields as the forefront and become a university of international standing. More than just a traditional academic institution, UM6P is a platform for experimentation and a pool
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involves working with commercial fishing scientific data compilation, analysis, modeling, and visualization, and integration of local fishermen’s ecological knowledge, and available socioeconomics scientific
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models combining CT imaging and clinical data, trained on the unique RADAR consortium database . These models will be validated in close collaboration with clinical and industrial partners, offering you
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at the University of Sydney, under the guidance of Node Leader Dr Samuel C Boone, AuScope and the School of Geosciences is jointly funding a 4-year Postdoctoral Research Associate position to spearhead the new node’s
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 19 days ago
of Oldenburg Your Profile PhD in marine ecology, finalized by the start of the project Advanced statistical modeling skills including analysis of biodiversity time series and functional traits, evidenced by
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the Job related to staff position within a Research Infrastructure? No Offer Description About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher
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these to campaigns. Additionally, you will lead the development of simple models for cross-shore sediment transport predictions. These models will be based on an extensive experimental database containing historical
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that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study
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staff position within a Research Infrastructure? No Offer Description About the SnT The University of Luxembourg is an international research university with a distinctly multilingual and
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outstanding candidates to apply for a postdoctoral research position in Geometric Deep Learning, with a strong emphasis on applications to biology and scientific discovery. This unique research collaboration