325 data-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United Kingdom
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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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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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-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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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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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
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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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, collaborative research that combines lab-based experiments with large-scale data handling and analysis. The post is available for up to 25 months in the first instance with a preferred start date of July/ August
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carry out appraisals. Further information about CTC can be found at www.ctc.cam.ac.uk and the GR Group at www.damtp.cam.ac.uk/research/gr/ . Start date: October 2026 Fixed-term: The funds for this post
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to work on the analysis and interpretation of data from cosmological hydrodynamics simulations of galaxy formation, particularly from the COLIBRE project. The appointee will work both independently and in
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aphids. Perform viral pathogen challenge using the BBRO Virus Yellows (VY) inoculation system. Record, analyse and interpret experimental data. Contribute to reports and quarterly grant reviews