108 computational-complexity-"U" Postdoctoral positions at University of Oxford in United Kingdom
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, including the generation and analysis of complex datasets is desirable. Excellent communication skills, including the ability to write for publication and represent the research group at meetings
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. Experience with filamentous proteins, challenging protein purification and complex protein chemistry, and helical analysis would all be a plus. Enthusiasm for working in a laboratory environment and in a close
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The Oxford Internet Institute has an exciting opportunity to join the Governance of Emerging Technologies research programme, working under the supervision of Professor Brent Mittelstadt and
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in
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B cell biology and spatiotemporal regulation of immune responses. Additionally, you will have proven experience in independently conducting complex and demanding experiments using large cohorts
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strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced biological models, an international consortium of leading colorectal
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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and
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the project will focus on developing a thermal water splitting process based on complex transition metal oxides, and then studying the kinetics of the process to facilitate the design of a reactor to integrate
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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to coordinate research activities and meet deadlines in a fast-paced research environment are essential together with strong analytical skills and the ability to interpret complex data. You will have excellent