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; Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | 9 days ago
ESRC DTP Strategic Joint Studentship University of Nottingham and University of Birmingham The Midlands Graduate School is an accredited Economic and Social Research Council (ESRC) Doctoral Training
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they are expected to be promoted to Associate Professor. The programme consists of a variety of development opportunities and the time to reflect and develop. The University of Birmingham is recruiting an Assistant
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the University of Birmingham, Newcastle University, University of Cambridge, National University of Singapore, and industry experts. Candidates may choose from, but are not limited to, the following research
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Synthesis, Test Evaluation and Modelling (BESTEAM) team. The post-holder will be based in the Institute of Applied Health Research at the University of Birmingham. Role Summary Initiate and conduct original
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characterisation, computational modelling methods, and/or advanced mechanical testing would be advantageous. The School of Metallurgy & Materials at the University of Birmingham is committed to promote diversity
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will be based at the University of Birmingham, where the successful candidate will work with people within the Schools of both Physics and Engineering. The successful applicant will be embedded in
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A fully funded PhD studentship (UK tuition fees) is available in the group of Dr Arno at the University of Birmingham (group website: https://arnolab.com ) in areas of polymer chemistry with
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at the University of Birmingham is committed to promote diversity, equality and inclusivity within our staff and student populations. We aim to encourage better practice for all members of the community, whilst also
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at the University of Birmingham. The post will commence in October 2024. The project’s aim is to understand in its full complexity the artificial acceleration of the carbonate-silicate cycling, from the land surface
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at the University of Bristol and the University of Birmingham. Based at the University of Bristol, this research post will focus on developing a suite of configurable machine learning models suitable