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Research program. The project aims to integrate a diverse suite of high-resolution observations (atmospheric, land surface, and infrastructure), diagnostic/predictive models, and civic engagement to provide
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will play a pivotal role in advancing research in artificial intelligence (AI), energy-efficient computing, foundational mathematical models, high-performance computing (HPC), dimensionality reduction
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within the last 0-5 years) in computational science, mathematics, physics, or a related field with a focus on image processing. Proven experience in algorithm and software development. Expertise in Python
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-edge machine learning, including Large Language Models (LLMs), to enhance decision-making and planning in robotic systems. Qualifications: Applicants must have a PhD in Robotics, Control Theory
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Computational Biology, Machine Learning and Deep Learning for Computational Biology, Computer Science, Applied Physics and Mathematics, or a related field. - Strong background in protein modeling, structural
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, LROC, ROC, Image perception, mathematical/computational observer models. Both experimental and computational positions available. Skills preferred include any of these: Monte Carlo simulations, benchtop
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with evidence reviews Retrieving and conducting text analysis and topic modeling on large sets of regulatory filings, grant documents, and government regulatory and policy documents Collaborating with
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collaborations. Key Duties and Responsibilities The post holder is required to; Work with colleagues and line manager to devise and perform experiments, modelling and analysis consistent with the goals
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during pregnancy, and in animal models of obesity and diabetes during pregnancy and assess the metabolic outcome of the offspring across lifespan. Responsibilities Include: Research- 70% • Conduct animal
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large-language model applications in healthcare systems, systematically identifying ineffective clinical processes, bioinformatics analyses of population health, as well as more conventional outcomes