114 structures "https:" "https:" "https:" "https:" "https:" research jobs in United Kingdom
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together leading academic, industry stakeholders, and SMEs to establish a structured doctoral training program addressing critical technical challenges and skill shortages for next-generation of
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Job Purpose The post holder will join the School of Infection and Immunity, working in the structural biology and bioinformatics research areas under the supervision of Dr Victor Tobiasson
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collaborators, contributing ideas and troubleshooting. You will have excellent opportunity to work with a broad range of researchers in both Newcastle and internationally. For more information see, https
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international cooperations and networks Desirable qualifications are: Knowledge of university processes and structures Experience of supervising students What we offer: Work-life balance: Our employees enjoy
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of metabolic diversification and metabolic engineering for food and health applications. The role: The successful candidate will investigate the diversity and structure-function relationships of one or more key
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the mechanism of co-transcriptional splicing. The project aims to understand the mechanism of crosstalk between the transcription and splicing machineries using a combined biochemical and structural approach with
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have, or be about to obtain, a PhD in Computational Chemistry or a related discipline, with experience in multiconfigurational quantum chemistry, relativistic electronic structure theory, or simulation
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representations and translated into written language. Your work will sit at the interface between sensor data, sign language structure, and NLP, enabling end-to-end sign language translation that goes beyond simple
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computer-aided design (CAD) and FEM solvers of optical systems Experience in the optical and mechanical design of optical devices or lasers Experience with construction and testing of optical cavities
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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning