651 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" Fellowship positions in United Kingdom
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, please contact Dr Jonathan Shepherd (jps@soton.ac.uk ) or Professor Joanne Lord (j.lord@soton.ac.uk ). See our website for further information about SHTAC. Working at the University of Southampton: Check
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on the separate document. If you would like to discuss the post, please contact the Faculty Board Chair, Prof. Mark Edwards (mark.edwards@theology.ox.ac.uk ) or the Regent of Blackfriars Hall, Rev Dr John O’Connor
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background in data analysis techniques and analytical and/or numerical modelling of compact binaries. The Institute for Gravitational Wave Astronomy provides a vibrant and diverse environment with expertise
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and experience match the requirements of the role. Informal enquiries are welcome and should be directed to Dr Xu Fang (x.fang@soton.ac.uk ). As a university we aim to create an environment where
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testing while maintaining compliance. Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability. Design and
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Dr Marie at the University of Warwick, UK, is seeking for a Post-Doctoral Research Associate with a strong background in Preclinical Behavioural Neuroscience. The overall aim of this MRC-funded project
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on the progression of the project up to 3 years. The candidate will undertake research with collaboration with Ansys under the supervision of the award holder (Dr. Susmita Naskar). For further detail on this vacancy
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questions please contact Dr Charlie Ryan, c.n.ryan@soton.ac.uk . At the University of Southampton, we value diversity and equality. The University recognises that employees may wish to have working patterns
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, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during