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Field
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and phylogenetic comparative analyses using R or Python Present research findings at scientific meetings and symposia Prepare and contribute to the publication of results in peer-reviewed journals Your
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statistics, statistics programming languages like R, and applied data analysis for social science. Additionally, the RA will also help the Principal Investigator with general administrative assistant work
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experience of data science analytical packages and R or Python would be advantageous. Funding The project is funded by the UKHSA and Nottingham University Business School. As a UK public body, UKHSA can only
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disorders, ideally idiopathic scoliosis experience with data analysis using software such as Stata or R experience with processing and managing large data sets excellent academic writing skills Personal
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into longitudinal studies and in using functional MRI and scripting-based languages (e.g. Matlab, R, Python). They must also have experience of conducting research with human participants and of performing highly
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experience with programming tools such as R or Python. An interest in acquiring new data science and programming skills is required. A keen interest in teaching and academic development. An excellent academic
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demonstrate experience in or interest in working with R/Python. You can demonstrate very good writing skills. You can demonstrate a proactive attitude. You have good communication skills, and a collaborative
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experience in or interest in working with R/Python. You can demonstrate very good writing skills. You can demonstrate a proactive attitude. You have good communication skills, and a collaborative and
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manuscripts, and advanced documented knowledge in the use of R, Stata or other analytical software are considered extra merit. Working knowledge of Swedish is preferable but not mandatory. Place of work: Umeå
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(e.g. Julia, Python, R) are a requirement Good programming skills in a low level language (e.g. C/C++, Fortran) will be considered advantageous Our offer A vibrant research community in an open, diverse