34 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" Fellowship research jobs at UNIVERSITY OF SOUTHAMPTON
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Innovation (UKRI), focusing on populations with multiple long-term conditions. You will contribute to a social care initiative, developing and testing an AI-informed digital tool to help individuals with
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the laboratory of Professors Ward and Ober. Their interdisciplinary research program is dedicated to the development of novel antibody-based therapeutics that has led to several therapeutics that are currently in
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. This role will contribute to the project by: Refining the flow battery design for manufacture and installation in Nepal Developing the control system/BMS for integration with a wider energy management system
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temperature extremes, such as heatwaves and cold spells, affect the health of people living with multiple long-term conditions (MLTC). The work will focus on analysing CPRD and HES data to understand
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. The project seeks to develop mathematical models for allocation of critical resources during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them
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during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them. The selected candidate would disseminate their research by publishing in top-tiered
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immunogens, the postholder will develop and apply advanced glycomics and glycoproteomics methodologies to generate high-quality datasets that inform next-generation vaccine design. They will provide
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at the University of Southampton. Focusing on HIV-1 Env and related immunogens, the postholder will develop and apply advanced glycomics and glycoproteomics methodologies to generate high-quality datasets that inform
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Applicants are invited for a Research Fellow position to investigate microbially-mediated power-to-gas systems. You will develop continuous laboratory-scale systems for biological production
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Healthcare Digital Twins. This role offers an exciting opportunity to contribute to the fast-growing field of Artificial Medical Intelligence. The successful candidate will design and develop advanced AI/ML