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Applicants are expected to hold a PhD and excellent study records in theoretical physics, mathematics, computer science, or other relevant field. have sufficient background in quantum computing to conduct
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their skills in technical fields like physics, engineering, applied mathematics, or computer science, as long as they have had prior experience in applying these skills to biology or allied fields, like
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mathematics, or computer science, as long as they have had prior experience in applying these skills to biology or allied fields, like neuroscience and medicine. However, candidates without prior exposure
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to completion of a PhD or equivalent qualification in computational fluid dynamics or applied mathematics. What we offer At the university of Oxford your happiness and wellbeing at work is important to us. We
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to completion of a PhD or equivalent qualification in computational fluid dynamics or applied mathematics. What we offer At the university of Oxford your happiness and wellbeing at work is important to us. We
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About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net ) uses mathematical models and causal experimental designs to understand the fundamental rules behind human and AI
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for high-accuracy Additive Manufacturing” (PAAM) in the department of Engineering, Computing and Mathematics (ECM) at Oxford Brookes University, Oxford, U.K. The position, funded by the Engineering and
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) Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days for all full time staff (Part time workers should pro rata this by their FTE). Use our total rewards calculator: https://www.hw.ac.uk
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collaborative research environment. Education, Qualifications and Experience We are looking for outstanding candidates with a PhD in physics, electrical engineering, applied mathematics, computer science, or a
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environment in the School of Physical Sciences. Maintain cell cultures and perform imaging studies and analysis on these cultures. About You Essential: A PhD in physics, biology, applied mathematics, computing