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solutions. Provide assistance and training to students & researchers in their projects or experiments. Broad Expertise: Knowledge in electrical, analogue, and digital electronics, data acquisition, and micro
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apply for the role at the below link - https://emeritus.darwinbox.in/ms/candidate/careers/a691c2af4ad9e8 To complete your application you will be asked to submit your CV, covering letter, details of your
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information about the University and the School of Health Sciences can be found at http://www.surrey.ac.uk/school-health-sciences . For an informal discussion please contact Professor Cath Taylor, cath.taylor
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resilient. The PhD student will take the lead on the full research programme: designing studies, analysing data, developing models, and co-producing interventions with DfT and other partners. The PhD student
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modelling techniques and the embedding of such models within data assimilation frameworks to enable their self-correction. During this project, you will develop expertise in machine learning-based reduced
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highly educated and to experience higher levels of economic advantage. Building on earlier AHRC-funded research - https://museumattendance.le.ac.uk/ - the Addressing the Museum Attendance and Benefit Gap
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, including an application to one of the Universit of Vienna doctoral schools (e.g., CoBeNe, https://vds-cobene.univie.ac.at/) within 12–18 months. As a University Assistant (Praedoc), you will become part of
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environment, evidence of process management and development, and significant experience and understanding of student records systems and data management. With a strong working knowledge of compliance
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join the MRC/BHF Centre of Research Excellence in Advanced Cardiac Therapies https://www.advancedcardiactherapies.ac.uk/ , co-hosted at the Institute of Developmental and Regenerative Medicine (IDRM
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April 2026. Informal enquiries may be addressed to Prof. Lucia Corsini: lucia.corsini@eng.ox.ac.uk Further information can be found at http://www.eng.ox.ac.uk/jobs/home Applications are particularly