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knowledge of deep learning architectures and, in particular, Large Language Models (LLMs). Knowledge is valued both in advanced prompt engineering techniques (e.g. few-shot learning, chain-of-thought
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testing under grazing flow conditions. The project will combine modelling, design, manufacturing and experiments, offering an excellent opportunity for a researcher who enjoys hands-on, applied and creative
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-related hazards, and growing operational demands. Current railway monitoring systems still rely largely on manual inspections and periodic measurements. This makes it challenging to detect early signs
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University of Maryland School of Medicine, Baltimore | Baltimore, Maryland | United States | 2 months ago
disorders. Research Areas: Current projects in the Rathinam laboratory focus on: - Mechanisms of cancer-associated inflammation and immune dysregulation - Development of novel DC-based immunotherapies
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The University of Texas Southwestern Medical Center (UT Southwestern Medical Center) | Dallas, Texas | United States | 2 months ago
of radiation therapy while minimizing normal tissue toxicity. Current projects in the laboratory include: Cancer metabolism and DNA damage response Investigating how mitochondrial metabolism regulates chromatin
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how they influence both the "rate" and "onset" of aging. At our laboratory, we are currently recruiting Special Research Scientists who are motivated to contribute to aging and age-related disease
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation. Procedure Reference: IT1375
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Framework Programme? Not funded by a EU programme Reference Number AE2026-0229 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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the Electrochemical Engineering Science Group and work within Dr Daniel Niblett's team on the five-year UKRI EPSRC ION-H2 Fellowship. The programme combines computational modelling, machine learning