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, completed or expected to be completed before the start date. · Demonstrated research experience in at least one of the following areas: o Natural language processing, large language models (LLMs), information
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, and glial pathways influencing immune function, mechanistic dissection remains constrained by fragmented models and low-throughput readouts. Existing approaches rarely allow systematic, causal
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and (scientific) writing skills. Due to the international character of our research, good command of spoken and written English is essential. We highly encourage applicants from all members of our
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human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research
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Lymphatic Endothelial Cells: Regulatory Interactions for Migration and Function Our investigations unraveled the key signaling pathways controlling Treg migration. Thymus derived (nTreg) and peripherally
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
understanding of the processes underlying plant, soil, and environment within an agricultural setting. Candidates must have a strong command of data synthesis, modeling, and/or machine learning. It is beneficial
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 11 days ago
models to detect, monitor, and predict subtle cognitive impairment and future change Supporting ongoing data collection in local and national research cohorts, including monitoring
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partners. In this role you will: Design, build and flight-test several (scaled) models of the medical delivery drone(s) De-risk the flight controller of the eVTOL aircraft Optimise the full-scale medical
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
, studying atmospheric responses to episodic events, comparing ground-based observations with satellite datasets and atmospheric models, and developing new retrieval algorithms. Field of Science: Earth Science
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central goals of the project are to construct high-fidelity subsurface models, quantify model uncertainties, integrate non-tomographic constraints and gravity modeling of the crustal structure, and