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economics, computer science, or a closely related quantitative field. A first-class or equivalent degree is strongly desirable. The candidate should have experience and programming proficiency in R and/or
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. multivariable Cox regression, logistic regression) using R or equivalent software, and publishing findings on the relationship between polyphenol-rich diets and cardio-metabolic health in cancer survivors. About
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will have experience in conducting scientific experiments independently, writing papers, presenting work and grant writing. Basic statistics and programming skills (either R, python, Perl, C
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relevant BSc/BA degree (MSc desirable), strong experience with computational approaches (e.g., coding and scripting in bash, R and python), some experience with molecular biology and embryology laboratory
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. The current teaching materials are focused on JavaScript for the Introduction to Programming module, and R for the Data Visualisation module. The department also supports student learning in Python. The initial
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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and programming languages (e.g. R, python) and HPC Excellent interpersonal and communication skills across clinicians, wet-lab, and computational teams Desirable criteria Experience supporting
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Requirements: A completed doctoral degree in chemistry, bio technology or a related field. Strong programming skills in Python, R, or similar languages. A track record of research competence and initiative
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(including the Higher Education Academy), as well as those with experience in relevant student supervision and teaching activities. * Whilst we seek to appoint at Grade 7, R&D Engineer level, candidates with
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will have a background in computer/data science, and specifically have computer programming experience, working with programming languages such as Python or R, in order to develop and maintain data