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and medicine. The key objective is to support efforts to advance biomedical research using computational methods. For more details, please view https://www.ntu.edu.sg/medicine/research/research
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Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will
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and medicine. The key objective is to support efforts to advance biomedical research using computational methods. For more details, please view https://www.ntu.edu.sg/medicine/research/re search
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and medicine. The key objective is to support efforts to advance biomedical research using computational methods. For more details, please view https://www.ntu.edu.sg/medicine/research/research
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Research Council rate (currently set at £20,780 p.a.) for four years. Please note the eligibility criteria set out by the UKRI at: https://www.ukri.org/what-we-do/developing-people-and-skills/esrc/funding
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, energy systems, or material sciences A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related
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expertise in mathematics, biometry, bioinformatics and data science, together with agribusiness, actuarial science, geographical information systems, farming systems and plant pathology. We have strong
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artificial intelligence and mathematical modeling, to study behaviors affecting individuals with disabilities such as behavioral relapse and self-injurious behavior. This position does not require a background
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to augment classical spike train analysis methods particularly those developed by Prof. Grün and others for detecting synchronous spiking activity with AI-based enhancements. After profiling the classical
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on model behavior. We will divide our work into three thrusts: Thrust A: A first major objective will be to augment classical spike train analysis methods particularly those developed by Prof. Grün and