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Optimization & Management of Power Allocation, Surface & Subsurface strategies), our Industrial Affiliates research consortium on large-load industrial growth in Texas — data centers, oil and gas operations
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field. A strong background in artificial intelligence, machine learning, computational biology, and/or large-scale biological data and measurements to develop and evaluate innovative approaches
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diabetes, neurocognition, and cardiometabolic disease Functional interpretation of disease-associated genetic variants Integration of single-cell multiome data (snATAC + scRNA-seq) with large-scale human
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be carried out employing high-power lasers at large-scale facilities both within and outside the UK. The candidate is expected to be an active member of the research team responsible for planning and
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project – “Recommender systems in the era of Large Language Models (LLMs): Method, vulnerability, and robustness”. Qualifications Applicants for the Senior Research Fellow / Senior Project Fellow post
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mechanisms, forecasting performance, return period, and multi‑sectoral impacts using high‑resolution meteorological data, satellite imagery, and climate models. It evaluates both natural drivers (El Niño
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conducting systematic literature reviews, comparative social policy analysis, working with large-scale longitudinal data sets, set theoretic methods, or computational social science would be a distinct
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the analysis of crosslinking and immunoprecipitation (CLIP), ribosome profiling and RNA proximity-ligation data (e.g. hiCLIP). We are looking for an innovative, and highly motivated scientist who is keen to
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offers an unusual opportunity to work at the intersection of Isabelle/HOL, the seL4-verified microkernel, information-flow security, and AI-assisted theorem proving. The project aims to develop a formally
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validate wearable data algorithms, software tools and pipelines supporting large-scale, multi-cohort research. It will contribute to the ProPASS federated data analysis platform, including testing