50 molecular-modeling-or-molecular-dynamic-simulation Fellowship positions at University of Birmingham
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of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
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interdisciplinary structural biologists is expanding. We are looking for a Research Fellow fascinated by the structural basis of molecular functions. You will study the structure-function relationships in RNA-protein
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2024, Nature) and will integrate modelling methane exchange in upland trees with the LPJ-GUESS dynamic global vegetation model to identify past, current and future changes in this new-found methane sink
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of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
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testbeds to explore new and emerging areas of interest, Birmingham is a dynamic place to work. We have ambitious plans to expand our research activity and are in an exciting period of growth: major
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can successfully predict previously-unknown regulators of seed development through functional genetic analysis of conserved, uncharacterised genes in the model seed plant Arabidopsis thaliana
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of the fundamental molecular processes underpinning these more-sustainable electrochemical applications, leading to an acceleration of their development and ultimate commercialisation. We are seeking candidates with
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interdisciplinary structural biologists is expanding! We are looking for a Research Fellow fascinated by the structural basis of molecular functions. You will study the mechanism of RNA acetylation, how post
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scope of function. his post is based within the Jones Lab within the new Molecular Sciences Building (MSB) as part of the School of Chemistry at the University of Birmingham and will be conducted in close
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, and AI-interviews". Our research programme aims to address persistent opioid usage by identifying molecular, neurobiological and cognitive signatures characterizing patients at risk of prolonged opioid