112 computational-complexity-"U" Postdoctoral positions at University of Oxford in United Kingdom
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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, complex protein chemistry, and challenging biophysics including development of new assays would all be a plus. Enthusiasm for working in a laboratory environment and in a small team is also expected, as
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of code to conduct complex comparative genomics, implement HMM searching strategies and conduct phylogenetic analysis on a grand scale while making use of sophisticated phylogenetic methods (for example
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of complex biological oligosaccharides and their site of attachment on fusion glycoprotein complexes isolated from viral surfaces (e.g. dengue and HIV-1). We are looking for a highly motivated researcher
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at the University of Oxford. Although near-Ambient Pressure XPS has enabled operando measurements of surface chemical processes in recent years, it is limited to low pressures (~ mbar) and complex, dedicated
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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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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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