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telepresence applications, including point-cloud based environments and also Avatar based applications. You should apply if you have previous R&D experience in immersive multimedia delivery technologies and in
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new code using programming languages such as R or python. A PhD in computational biology or PhD in molecular biology, oncology or genetics with a demonstratable emphasis on computational analysis is
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maintenance with advanced IT skills, particularly Excel, and a working knowledge of statistical software, preferably STATA and R. You will have expertise in open science practices and experience building
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) * Experience in quantitative data analysis, including routine data, management of large datasets, and use of statistical software (such as Stata, R or equivalent) Excellent written and oral communication skills
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for long-term production projects including large arrays of full-recticle and wafer-size semiconductor sensors, as well as one-off R&D pieces and small commercial activities requiring a rapid turnaround
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(MATLAB/Python/R) as a tool for the conduct and analysis of experiments. Information about the Project Our group examines the offline processing of human memory. We integrate a variety of cutting-edge
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or Computer Science. Confident in data analysis, including handling large data sets using relevant software, such as Power BI, Tableau, Python, SQL, SSRS, R, Stata, SPSS, or Excel Able to extract, transform and combine
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for biological research Essential Application/Interview Working knowledge of a programming language relevant to biological analyses, e.g. R/Python Essential Application/Interview Experience presenting research
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system design. Graduates will be well-positioned for careers in aerospace engineering, R&D roles, or academia. The project also fosters teamwork, problem-solving, and technical communication skills—highly
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survey data and a working knowledge of Stata and/or R are essential. Knowledge of the English health and social care system and knowledge of health research are desirable. The successful applicant will