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Field
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Grade 7 you will have a PhD in Health Data Science (or related discipline with substantial component of Health Data Science). Any applicants who are still awaiting their PhD to be awarded should be aware
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enantioselective. Applicants should have (or be about to obtain) a PhD in synthetic organic chemistry. Experience in modern synthetic techniques in a leading research environment is essential, ideally in
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extension to 2 years or more depending on performance and funding. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD
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are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (or pending results)* Excellent knowledge of robot kinematics and dynamics
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September 2024 until 31 August 2026. Any applicants who are still awaiting their PhD to be awarded should be aware that if successful, they will be appointed at grade 6, spine point 30. Upon written
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to try to solve the 3D structure of histone H4-fibrinogen microclots. You will have a PhD in Biochemistry or related discipline. Laboratory experience with protein biochemistry, structural biology, EM
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skills, and a PhD in Engineering, Mathematics, or Computer Science are sought. The main aim of the work is to demonstrate the use of Uncertainty Quantification in developing and using non-deterministic
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applicants who are still awaiting their PhD to be awarded should be aware that if successful, they will be appointed at grade 6, spine point 30. Upon written confirmation that they have been successful in
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Applicants should hold a PhD/DPhil or be near completion of a PhD/DPhil in Biochemistry, Chemistry or a related subject and have substantial experience in advanced neural network development, programming, and
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their expertise and strengthen their competencies in this exciting interdisciplinary field. What you will need Applicants must hold (or be close to completing) a PhD, in the social sciences (sociology, sociology