322 data-"https:"-"https:"-"https:"-"https:"-"https:"-"P" Postdoctoral positions in United Kingdom
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core responsibilities include: co-designing and co-delivering qualitative and quantitative data collection with UK audiences and media professionals (interviews, focus groups, quantitative surveys
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area on our Why Join Us? - Information Page The Role and Department Durham Chemistry is a leading international chemistry department and one of the very best in the UK, with an outstanding reputation
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other RAs, the PDRA will lead the collection, management and analysis of large physiological, fMRI and behavioural data sets, using appropriate tools (R, Matlab, FSL, SPM) and advanced statistical
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Close collaboration between Chemistry and Microbiology Data analysis Publications in peer-reviewed journals and presentations at international conferences Supervision of trainees and students This is part
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-ome data at bulk and single cell resolution. You will hold a PhD in Mathematics, Systems Biology or a related subject. Experience with mathematical modelling of dynamical systems using linear and non
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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 the UK
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immediately until 31st March 2028, with the possibility of extension. The post is part of a Wellcome Trust Collaborative grant ‘Harnessing epidemiological and genomic data for understanding of respiratory virus
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area on our Why Join Us? - Information Page The Role and Department A 22-month fixed term full time Postdoctoral Research Associate (PDRA) position is available in the Department of Geography at Durham
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, medicine, physics, engineering etc. are welcome but you will exercise your creativity and boldness through, establishing new experimental paradigms and obtaining new experimental data. You have to be a team
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging