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track record of publishing impactful statistical research using large health datasets, and ideally experience securing research funding. You’re confident using R (or similar), thrive when working
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to demonstrate a working knowledge of R/Python related to data processing and analytic pipelines. You will have previous project management experience for the planning, development, roll-out, and support of client
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management and analysis of EHRs, a background in data science and machine/deep learning, and solid programming skills in Python and/or R. The program has already collected large clinical data sets-we are now
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analysis skills and experience in statistical modelling, data wrangling, and analysis of complex behavioural datasets using R, Stata, or other statistical software packages. Experience of developing
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spectrometry assays, and computational skills including R or Python are highly desirable. Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your
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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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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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part of your online application. To make informal enquiries about the post please contact Dr Leah R. Clark (leah.clark@conted.ox.ac.uk), Director of Studies in History of Art. The closing date
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space, and experience and fluency in programming (with python, R, and SQL). You will also have experience in bioinformatics techniques, data management and relational databases, and experience in
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programming languages commonly used in scientific computing such as Python, MATLAB, and/or R • Familiarity with lower-level languages (e.g. C++) is advantageous. • 1-2 years of professional experience in