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optoelectronics or closely related field. Electro-optical characterisation and measurement of detectors are essential. General tasks will involve scientific research; analysis and interpretation of data; daily
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well as MSc and PhD programmes. Further information may be found at: http://www.kcl.ac.uk/physics About the role We are seeking to fill a position of Postdoctoral Research Associate, working in close
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer
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. Appropriate workload/time/project/budget/people management skills. C7. Extensive IT and data analysis/interpretation skills as appropriate. C8. Self-motivation, initiative and independent thought/working. C9
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer
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. The project will also involve close collaboration with researchers from other disciplines within the Oxford Martin Circular Battery Economies Programme, who are working on second-life battery analysis, re
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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complements LCAB’s research programmes. High competence in the analysis of large ecological and other data sets and time series. Ability to write up research for publication in high profile journals, along with
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, fluorescent microscopy, etc.), as well as extensive experience in quantitative proteomics (both sample preparation and data analysis) is expected. As a postdoctoral researcher, you are expected be able
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correlating findings with analysis of patient material. You will take a lead role in conducting wet lab experimentation, applying state-of-the-art single-cell multiomic approaches, including transcriptomic