26 molecular-dynamics-simulation PhD positions at University of Exeter in United Kingdom
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Location: Streatham Campus About the ProjectProject details Self-adaptive and autonomous systems are increasingly deployed in dynamic and uncertain environments, where effective decision-making
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to enable quantum states of light to be guided through dynamically changing complex scattering media. Among the possible applications are the development of quantum communication protocols over free-space
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
operate in spectrum environments that are scarce, heterogeneous, and highly dynamic, which makes the traditional static and centralised spectrum management strategies inadequate for ensuring reliable, low
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. Key findings will be tested in additional species. The student will influence developing research directions based on initial screens. The student will learn gene-editing, molecular biology
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membranes. These insights will inform both environmental monitoring and our understanding of PFAS toxicity at the molecular level. You will work within a multidisciplinary team led by Professor Vollmer
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) in microbial ecology and aquatic animal health; and the Roslin Institute (Dr Tim Bean) in bivalve genomics and host-pathogen interactions. The student will gain cutting-edge skills in molecular
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chronic monitoring and facilitate seamless integration into dynamic neuromodulation systems for closed-loop therapeutic interventions. By leveraging graphene’s exceptional electrochemical properties with
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regions, and may have also been observed in historical trends, but the processes driving this delay are not well understood. This project will use observations and climate model simulations to examine how
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treatment processes, and risk management? The Doctoral Researcher will receive interdisciplinary training across microbiology (culture-based and molecular, e.g., next-generation sequencing, bioinformatics
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. The student will incorporate the fast-evolving understanding of magma-mush systems into numerical models simulating surface deformation from porous fluid (magma) flow, and test how predicted subsurface stress