135 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at University of Bristol
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. The person appointed to this role will play a central role in the early evaluation of how the Pledge is being implemented. The research is funded by the NIHR Three Schools Prevention Programme and the
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in physiology and pharmacology and you are an individual wishing to gain a wealth of teaching experience at the start of your academic teaching career. You should have recent research experience (PhD
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should have or be working towards a PhD in computer science, networks or communications. You will have the ability to learn quickly, with excellent communications skills and the ability to collaborate and
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Number (NTN) in either Rheumatology or Intensive Care Medicine (ICM) You have completed, or at least submitted, a higher degree by research by the time of applying for the post (PhD or MD or equivalent
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The School of Computer Science within the Faculty of Science & Engineering is seeking to appoint one Lecturer in AI and Animal Biometrics as a fixed-term positions. The appointees will be expected
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researcher and educator. This is a clinical academic training post – please see the job description. You want to be a clinical academic leader You have completed and submitted a PhD or equivalent You have a
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messages and update information. Provide administrative support to (academic) staff for car hire, travel arrangements or meeting arrangements. Arrange routine meetings, order catering, collate and distribute
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collaborate closely with the multidisciplinary consortium of chemists, biochemists and computational chemists. You will use newly constructed transient absorption and transient infrared experiments to probe
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programme that aims to improve outcomes for children across the UK. You will work closely with internal and external stakeholders to ensure the smooth running of the project, with responsibility for a wide
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deep understanding of manufacturing systems, supply chains, and design space optimisation. You hold (or are completing) a PhD in Engineering, Computer Science, or a related field, with a strong