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at The University of Manchester. You will hold an MSc and/or PhD (or equivalent) in epidemiology, medical statistics / biostatistics, health data science, health services research, or some other quantitative academic
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at the University of Manchester possessing expertise in open quantum systems theory [1]. [1] Jake Iles-Smith, Neill Lambert, and Ahsan Nazir, Phys. Rev. A 90, 032114 (2014) [2] Diego R. Abujetas and José A. Sánchez
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on circumstances) set at the UKRI rate as a minimum (£19,237 for 2024/25). A fully funded PhD position in multiscale modelling of polymer composites is available in the group of Professor Carbone at the University
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collaboration between Manchester Metropolitan University, The University of Manchester, The Strategic Clinical Network of Greater Manchester and Manchester Foundation Trust. It will look to explore and understand
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bespoke to the intersect of research and the clinic. About you: You should have a PhD in Computational Biology/Bioinformatics, Mathematics/Statistics (or a related discipline) or have a relevant
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 7 days ago
Job Offer PhD Studentship in Social Statistics in Digital and Computational Demography University of Manchester and Max Planck Institute for Demographic Research We are pleased to invite
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Copenhagen and at the University of Manchester in the UK. While at the University of Manchester) you will complete a systematic literature review and then you will conduct a mixed methods study in which your
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with Vlad-Andrei Porumb and Paolo Quattrone (both from University of Manchester). Qualifications We are looking for candidates with: a strong background (MSc, research master) in auditing, accounting
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of Auditing Research (FAR), which will be directed by Yasemin Zengin-Karaibrahimoglu (University of Groningen) together with Vlad-Andrei Porumb and Paolo Quattrone (both from University of Manchester
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strategy to minimise non-biological variability in the measures and iii) implement it at the acquisition and/or image processing level. The project is in close collaboration with the University of Manchester