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relevant experience in clinical research and data analysis. You will have previously contributed to academic publications and/or presentations. Excellent communication skills are essential, including
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analysis of new and existing large-scale wearable sensor datasets. There will be exciting opportunities to recruit participants and support collection of new wearable camera and accelerometer datasets with
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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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Australia). Travel to collaborating sites is possible and encouraged. In addition to clinical coordination, the postholder will have the opportunity to engage in data analysis, contribute to high-impact
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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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statistical analysis, and possibly additional qualitative data. The postholder would be expected to engage the public in shaping their research programme, and disseminating the outcomes to academic audiences
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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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collection, processing and analysis from mice performing spatial navigation tasks using in vivo physiology methods (electrophysiology, photometry, optogenetics). Informal enquiries about the post can be
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validate new technologies for the diagnosis, prevention, and management of sport injuries, with emphasis on safety rather than performance. You will be responsible for the design, execution and analysis