190 parallel-computing-"https:" "Simons Foundation" positions at University of Manchester
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We are excited to offer this opportunity for a Translational Research Programme Manager to lead on the operational delivery of the RISE (Reducing Immune Stress from Excess cytokine release in
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About the role: This is a research project taken in the Digital Manufacturing Lab led by Prof. Charlie Wang. The project aims to a computational kernel to effectively generate optimised structure
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About the role: We seek a high-calibre and strategically minded Project Manager to lead the delivery of the DATAMIND-Observatory, a major national programme accelerating mental-health research and
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funded ENLIGHT - Enabling a Lifecycle Approach to Graphite for Advanced Modular Reactors consortium, a £13.2 million, five-year programme accelerating innovation in next-generation nuclear technologies. It
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parallel project into microbial consumption of hydrogen in the subsurface. Both departments are part of the Faculty of Science and Engineering at The University of Manchester, which hosts world-leading
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computational, molecular and biophysical techniques. During the project you will design the methodology for, and perform the directed evolution of H-transfer enzymes using parallel selection methods, measure
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analysis pipelines and to integrate imaging data into computational models. It is an opportunity to work with research groups across the Cell-Matrix Centre and the Bioimaging Facility. The appointee will be
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Skills Lead. Furthermore, they will be expected to contribute to an established, active teaching programme in undergraduate Restorative Dentistry / Adult Dental Care. The successful candidate will be
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employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and
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conditions. The position is funded through a UKRI Future Leaders Fellowship awarded to Dr Eder Zavala: “Developing a mathematical and computational framework for digital endocrinology”. The work will build