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atmospheric physics, meteorology, climate, numerical methods, and data science. The Research Associate will be proficient in programming/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script
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to Kiran R. Patil (kp533@mrc-tox.cam.ac.uk ) If you have any queries regarding the application process, please contact hradmin@mrc-tox.cam.ac.uk Further information can be found on our website: https
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the UKRI through the Frontier Guarantee Programme to Dr Jani R Bolla. The work is to be conducted in his lab in the Department Biology, University of Oxford, South Parks Road, Oxford, OX1 3RB
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and informatics skills are required, i.e., R, Python, MATLAB, deployment of web experiments (using cloud services). Being able to communicate fluently in English is a must. Your future tasks: As a new
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Python/R and Linux/UNIX, or expertise in structural variant analysis with motivation to upskill computationally. Experience in cancer genomics/epigenomics and high-throughput sequencing. Proven track
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biomedical data. Programming using one or more of the following: Python, R, Javascript. Clinical informatics experience in large scale academic projects and/or industry environment. Strong grasp of study
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neurogenetics of Drosophila. This requires expertise in setting up and analysing behavioural tests, using appropriate analytical methods and software and skills in coding in e.g. R, MatLab, R, Python, as required
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identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background. Please quote reference: 206-25-R
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. We are a highly collaborative group with an international reputation. What we are looking for Experience working with sequence data, programming in python or similar language (e.g. R), and a strong
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of these approaches, and how to generate robust inferences. We would expect you to be highly skilled at using programming languages such as R or Python. It is important for you to have a track record of implementing