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cohort studies. The position is for 3 years, starting on October 1, 2026, or as soon as possible hereafter. Information on the Department of Public Health can be found at https://publichealth.ku.dk/ Our
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to develop novel AI and machine-learning methods for accelerated materials discovery. The focus is on combining generative AI, active learning, first-principles simulations, and machine-learning potentials
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candidate should be able to show research experience in national and/or international projects on process modelling and simulations, including both steady state and dynamic modelling and techno-economic
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The main objective of the project is to develop novel, interpretable predictive models for response to immunotherapy in patients with advanced melanoma, based on the functional activity of gut fungi
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battery simulation and some experiments, analyse data, develop and validate diagnostic and prognostic models, and contribute to research using real-world battery datasets. You will collaborate closely with
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our research please see our website: https://www.thelakelab.org/ Responsibilities Generate and characterize novel cellular models of mitochondrial genome dysfunction using genome-editing and related
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on endocrine and neuroendocrine tumours, integrating preclinical models, molecular profiling and translational approaches to identify novel therapeutic vulnerabilities and biomarkers associated with treatment
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 13 days ago
assimilation Integration (JEDI) framework for atmospheric data assimilation Develop machine learning foundation models based on simulated observations from high fidelity atmospheric simulations for developing
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Project and Research Environment Large Language Models (LLMs) are increasingly used in legal question-answer contexts. It is now well known that answers may contain noise, for example, in the form of so
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qualifications. VII.VIII - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Quan Zhang Effective