113 molecular-modeling-or-molecular-dynamic-simulation positions at University of Nottingham
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in the development of novel sustainable catalysts, and support on reaction modelling to benchmark the microwave process against alternative technologies (as assessed by our partners). The successful
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information or questions about this PhD please contact nicola.love@ukhsa.gov.uk . To be considered for this PhD please send a copy of your CV and a personal statement up to 500 words explaining your suitability
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: Investigating how functional motifs are encoded in HS chains and how they influence their biological activity. Using gastruloids as a model system with which to study GAG structure/function relationships
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settings. You will enjoy the busy and dynamic environment of the Disability Support Services team, working and collaborating with Disability Advisers, Senior Administrator colleagues and an in-house Support
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being their first point of contact. We are looking for a dynamic and effective individual, with the ability to risk assess and prioritise competing demands and to present informed recommendations
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on modelling and testing of new reactors with a view to optimising the best systems for mixing supercritical water (>378o C and 221 bar) with wastewater feed streams. This needs to generate residence times
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University, and offers unique teaching and research opportunities in a highly dynamic economy. The successful candidate will be expected to make a significant leadership impact within their academic unit and
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to an exciting new effort to accelerate and miniaturise micro-elasticity imaging systems for in-vivo and clinical applications. You will be part of a dynamic, interdisciplinary team aiming
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. You will have the opportunity to: Experience health research in a defined setting as a member of the dynamic culture of a School of Health Sciences (SoHS) Research Group Teach and support students in
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Photovoltaic Modelling for Performance Optimisation Theme 3: AI-Enhanced Coordination of Renewable Energy for Smarter Grid Management Theme 4: Decoding Social Acceptance: The Community Lens on Large-Scale Solar