655 phd-position-in-data-modeling-"UCL"-"UCL" Postdoctoral positions in United Kingdom
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Field
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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at an unprecedented level of resolution. By simultaneously analysing multiple data sets (MANT-ATP, methylome, transcriptome and proteome) derived from the same individual muscle fibre, this project will determine the
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full-time, fixed-term position for a duration of two years. The role is based within the Department of Computer and Information Sciences at Northumbria University, located in Newcastle upon Tyne. About
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experimental assessments across the UK. The successful applicant will oversee data collection, management and analysis, and lead the dissemination of findings to academic and lay audiences. You will work closely
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humanised mouse models with the same mutations as patients, all of which are currently available in the laboratory. Minimum qualifications are PhD and/or MD with expertise in molecular and cellular biology
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would like to obtain more practical laboratory experience before embarking on a PhD. The project aims to understand the functions of hereditary spastic paraplegia proteins in the molecular pathogenesis
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oversee data collection, management and analysis, and lead the dissemination of findings to academic and lay audiences. You will work closely with families, NHS Trusts and charity partners, and contribute
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the Centre for Research Staff Development for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD
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possible under the Skilled Worker Route. Applicants wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. There is further information about this on
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fluorescence light microscopy, and electron cryo-microscopy (cryoEM). This position offers an exciting opportunity to contribute to cutting-edge research in biophysical modelling and analysis in a microbiology