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statistical software (e.g., SPSS, R, or similar) • Strong communication, teamwork, and flexibility Benefits As one of the largest employers in Oxford we pride ourselves in the great experience we offer
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cleaning Inferential statistical techniques Proficiency in statistical software (e.g., SPSS, R, or similar) Strong communication, teamwork, and flexibility Benefits As one of the largest employers in Oxford
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and scientists from the Dundee Drug Discovery Unit (DDU) (www.drugdiscovery.dundee.ac.uk/) and GSK Global Health Medicines R&D to facilitate the discovery and development of new drugs for invasive
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R or equivalent skills in another relevant language. We are not expecting you to be an expert in all forms of computer simulation, Large Language Models, or machine learning etc, but a working
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CMM researchers with drug discovery experts and scientists from the Dundee Drug Discovery Unit (DDU) (www.drugdiscovery.dundee.ac.uk/ ) and GSK Global Health Medicines R&D to facilitate the discovery
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, exchange of data and resources. Iskratsch et al., Nat Rev Cell Mol Biol (2013) (2018) Hawkes, Phil Trans R Soc B (2022) Marhuenda et al, BioRxiv (2023) Swiatlowska et al, Sci Adv (2022) Swiatlowska et al
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/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script & NCO & CDO, etc.) and have demonstrable expertise in the analysis of big data, while the experience with interpretation of climate
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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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of Surrey, University of Leeds, UKCEH) and Chile (Universidad de Desarrollo and MICROB-R). You will use a system modelling approach to a) quantify available data, b) knowledge gaps and associated risks to c
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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