381 molecular-modeling-or-molecular-dynamic-simulation-"Prof" PhD positions in United Kingdom
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- VIN UNIVERSITY
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spectroscopy and HPLC), organic synthesis, electrochemistry, hydrogel soft matter and modelling. You will be mentored by Dr. Maguire and will learn how to design and manage projects, how to conduct research, how
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methodology to simulate representative offshore operating conditions using a purpose-built prototype system, enabling experimental validation under combined electrical, thermal, mechanical, and environmental
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project will develop a rigorous theoretical framework to ensure both coordinated behaviour and safety in interconnected dynamical systems. You will design and analyse a two-layer control architecture
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Type of award Studentship Principal investigator Prof. Peter Scott, Director of the Lincoln Theological Institute. Managing department Faculty of Humanities Value Tuition fees - to the maximum
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of developing a computational model to simulate hydro-sedimentary dynamics and morphology between restored patches to explore conditions favourable for restoration. Validated with data on vegetation cover and
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limitations in both measurement and modelling techniques. Current in-process measurement methods are restricted to surface-only monitoring devices (e.g., cameras and pyrometers), which fail to capture
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medicinal chemistry and the desire to learn molecular biology assay techniques. Industrial experience would be advantageous. Please note that this is a 4-year Graduate Teaching Assistant (GTA) studentship
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2:1 in BSc Chemistry or an MSc in any applied chemistry degree, including inorganic chemistry, chemical physics, analytical methods, simulation and modelling of chemical reactions. English language
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signs of cardiovascular changes, adaptively model physiological patterns, and identify predictive biomarkers of maternal health. You will develop and apply cutting-edge techniques in: Signal processing
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity