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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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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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reference number SAA-005-25-R. Further details: *Occasionally we may need to close a vacancy before the published deadline due to a high number of applications being received, therefore we strongly advise you
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experience in relevant area. Knowledge or interest in Natural Language Processing, ideally as applied to big biomedical data. Programming using one or more of the following: Python, R, Javascript. Clinical
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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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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
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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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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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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