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researchers in the preparation and analysis of data. The Research Associate will be supported by a multidisciplinary internationally renowned team with diverse expertise including in health data science
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the statistical analysis of data. They will be supported by a multidisciplinary internationally renowned team with diverse expertise including in health data science, epidemiology, risk prediction, AI and clinical
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to compare simulations to data. They will be expected to work in teams applying these membranes to a diverse ranges of applications including pharmaceutical solvent recovery, and dehydration of pharmaceutical
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common complex human genetic diseases using genomics and other omics data within large-scale health datasets. The postholder will contribute to the objectives and development of a research programme funded
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data analysis, and write scientific reports. In addition, there is scope for supporting PhD students, and collaborating with other experimental and computational neuroscientists within and outside
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commensurate with their career stage. Experience in exoplanet (including host star) research and in data and statistical analyses (all broadly defined), is desirable but not essential, and applicants with a wide
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contact Dr Gemma Northam Gemma.Northam@rhul.ac.uk . Information about our Department can be found at: https://www.royalholloway.ac.uk/research-and-teaching/departments-and-schools/psychology/ . Please quote
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that can translate (genomic) data into clinically actionable insights. We are an ambitious, curious and enthusiastic international team, that promotes scientific excellence in the context of happy family and
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experiments, devise strategies for further development/advancement of project. Be involved in compiling data, writing manuscripts grant applications, contribute to overall scientific endeavor of the research
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) semiconductors and devices. The primary aim is to develop next-generation ultra-low-energy consumption semiconductor devices to significantly reduce the power consumption of data centres and computers. Key