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in Mass Spectrometry and Structural Glycobiology to work under the supervision of Prof. Weston Struwe for a period of 24 months. The project, funded by the UKRI, centres on developing advanced methods
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scientific publications, patents, and seeing collaborators translate our work into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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-Raman spectroscopy (AF-Raman) for intra-operative assessment of sentinel lymph node biopsies in breast cancer surgery' led by Prof. Ioan Notingher (Nottingham) and funded by the National Institute
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A postdoctoral position is available in Prof. Ivan Ahel’s group based in the Sir William Dunn School of Pathology, University of Oxford to study the interplay of ADP-ribosylation and ubiquitylation
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experience. Informal inquiries can be made by contacting Prof. Stuart Dalziel by e-mail: s.dalziel@damtp.cam.ac.uk Fixed-term: The funds for this post are available for 1 years in the first instance. To apply
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can contact Prof Rhein Parri (h.r.parri@aston.ac.uk ) please all cc in Nataliia Manuilovich (n.manuilovich@aston.ac.uk ) This role is likely to meet the criteria for endorsement under the ‘Endorsed
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, you can contact Prof David Saad (d.saad@aston.ac.uk ) please cc in Nataliia Manuilovich (n.manuilovich@aston.ac.uk ) This role is likely to meet the criteria for endorsement under the ‘Endorsed Funder
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Engineering or a related field. In this role, the selected candidate will be responsible for designing, developing, and optimising algorithms for processing and analysing signals in real-time applications
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A postdoctoral position is available in Prof Ivan Ahel’s group at the Sir William Dunn School of Pathology, University of Oxford to study interplay between ADP-ribosylation and ubiquitination