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pharmacology, preclinical oncology, and mouse therapeutic efficacy studies to contribute to a federally funded translational research program focused on the preclinical development of novel small-molecule
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machine-learning models to investigate how brain, environment and social factors influence cognition, ageing and neurodegenerative disease. The role will contribute primarily to WP6 and related analytical
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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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and collaborative research at the intersection of quantum information science, machine learning, statistical learning theory, quantum thermodynamics, and complexity science. The Research Fellow will
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computing pipelines and package models and analytical methods as documented, reusable research software and community resources. You will be encouraged to participate in SCINet and AI Center of Excellence
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About the Opportunity About the Opportunity Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the
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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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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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, 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