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About Us University of East London (UEL) is a vibrant, diverse, and forward-thinking institution dedicated to transforming lives through exceptional education and career-focused opportunities. As a careers-first university, we have been proudly preparing students for the jobs of the future for...
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collecting and systematizing a digital corpus of sources from Nordic countries; conducting a range of research tasks using R on this corpus; assist with organization of seminars and a workshop; and will have
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collecting and systematizing a digital corpus of sources from Nordic countries; conducting a range of research tasks using R on this corpus; assist with organization of seminars and a workshop; and will have
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driven research Maths competency and experience with statistics in research Software competency: ImageJ, Matlab, Graphpad Prism, R Evidence of Github use An interest in cardiovascular physiology
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projects and staff, with an established international publication record, and success in leading research grants. Strong programming skills in a statistical language, such as R, Stata, Python or C/C++, etc
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observational datasets. You must have a comprehensive understanding and experience of statistical methods appropriate for applied health economics research. Knowledge of R (or other equivalent statistical package
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://forestinvasion.cz/en/r-20696-team ). Position Qualifications: PhD completed at least 4 years ago and, substantial research experience including supervision of students or other scientists Previous success in grant
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projects and staff, with an established international publication record, and success in leading research grants. Strong programming skills in a statistical language, such as R, Stata, Python or C/C++, etc
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postharvest biology, food loss, and modeling. Strong communication, lab skills (HPLC, LC/MS), data analysis (Genstat, R), and travel readiness are essential. The ideal candidate would preferably hold an MSc
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proficient in coding and data analysis in Python and R. The position is available fixed-term for 2 years, funded by the OBDS Training Programme. Applications for this vacancy are to be made online. You will be