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specialist with 10 or more years of working experience in development / R&D or related areas in electronics (Digital / Analog / Consumer / Embedded Systems) would be preferred. Experience in following areas is
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experience with Python/R. Evidence of manuscript and/or report writing.
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R, Python, or C++) and familiarity with collaborative software development Can work independently while contributing to a collaborative, cross-disciplinary team Able to communicate technical ideas
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Simulator (JULES), land surface model of the UK Earth System model and understand the representation of vegetation carbon and water cycles within the model Use Unix and Fortran and also either R or Python
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skills in SAS or R. Appointment is dependent on the level of experience in clinical trials, degree of supervision and/or mentoring required and statistical programming. Tenure: There is a permanent
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and to the Research and Innovation (R&I) Directorate. You will also provide training and development opportunities to members of the University community as a whole, supporting a culture of open
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smart/digital HR systems, dashboards, and performance management. Knowledge of HR and low-carbon management practices. Experience using data tools (e.g., SPSS, R, AnyLogic, Power BI) and platforms (e.g
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advanced statistical methods and software (e.g., R, SPSS, Stata) for analysing intervention outcomes Academic standing: Outstanding publication track record in evidence synthesis of studies evaluating
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, social policy, or economics. Strong quantitative research skills and experience working with quantitative data. Proficiency in statistical software, particularly Stata or R. Ability to plan and manage
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Kinesiology (or Exercise Science) Proficiency in advanced statistical methods and software (e.g., R, SPSS, Stata) for analysing intervention outcomes Academic standing: Outstanding publication track record in