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and analysis of probabilistic and social choice models, help with the design and conduct of experiments, perform literature reviews, and contribute to the drafting of technical reports and publications
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imaging and spectroscopy. Experience with data analysis or the ability to perform basic biochemical work with proteins and DNA, e.g., fluorescence labelling, enzymatic reactions will be highly rated in
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in and knowledge of the broad area of soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps, and familiarity with colloid
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opportunities at departmental and University level. The work will be exclusively in-silico analysis of human rhythmic behaviour, including sleep and chronotype, and cardiometabolic disease. We will use publicly
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, Biochemistry, or Biophysics. You should be driven, have experience in protein production, the analysis of interactions between macromolecules, and good background in structural biology and biophysics. Since your
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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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. 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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, 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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GGR on UK lands. They will also have the opportunity to be part of a consortium project (ERW-GGR) which is itself a component of the UKRI funded Demonstrator phase of greenhouse gas removal techniques
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of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), Oxford As a Postdoctoral Research Assistant in Translational Biology you will be performing laboratory experiments and data analysis to support