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next-generation machine learning (ML) models that are both data-efficient and transferable, enabling more reliable catastrophic risk prediction, defined as the probability of exceeding critical safety
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of approval of the candidatures. Further information at https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition Where to apply Website https://www.it.pt/ Requirements Research FieldEngineering
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At the Leibniz Institute of Atmospheric Physics (IAP), a part-time position (75%) in the “Satellite Data Analysis” working group is available as PhD Student (f/m/d) The position is initially offered
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research group (please find further information at https://www.biologie.uni-konstanz.de/gruber ). You will be developing machine learning-based data science approaches for the analysis of Next Generation
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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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to topics in agriculture and spans many scales from field to global. Project Description Soybean is a critical crop for global food security and agricultural economies. This research project aims to develop
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extension to other immunotherapy-treated cancers to enable cross-cancer comparison and broader generalisability. The project will leverage two complementary data sources: the TrinetX global research network
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Award Summary 100% of UK home tuition fees paid and an annual stipend of £21,805. Additional funding is available for research costs, training and conference attendance. Please note this studentship