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of placental function and reduce the risk of stillbirth. This post forms part of the internationally funded Wellcome Trust programme, which aims to develop new approaches to measure, model and predict pregnancy
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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for developing context-aware small language models for a human-robot interaction system. As a Research Assistant, you will play a pivotal role in advancing our research initiatives by developing, testing
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, Computational X-ray Nanophotonics for Phase Contrast Imaging We are seeking a Research Fellow to spearhead cutting-edge research in the computational and theoretical modeling of free-electron-driven X-ray
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Mentorship: Co-supervise students and research assistants with structured feedback on study design, analysis, and writing. Model responsible conduct of research and mentorship best practices. Research program
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-flow security, program logics and neurosymbolic AI. The project is exceptionally well-resourced, including substantial funding for access to state-of-the-art AI models and computing infrastructure. We
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centralised data hub, and leverages this platform to build AI models for biomarker discovery and drug target identification. The selected candidate will perform a variety of research activities under
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modelling, immunometabolism, and regenerative medicine within a large, well‑funded collaborative programme. About you You will hold a PhD/DPhil or equivalent a relevant discipline along with: Strong hands
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 15 hours ago
algorithm performance. You will analyze assignment data from December 2025 to the present to identify workload distribution patterns and refine the algorithm using mathematical modeling, programming, and
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We are looking for a Research Fellow for the (SHINE) Centre 2.0 co-led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS