20 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD research jobs in United Kingdom
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. Please follow the link at: https://www.cst.cam.ac.uk to find out more about our department. In addition to the base salary stated above, the successful candidate for this post will receive an additional
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Organization, national Ministries of Health and partner research institutes across 24 countries, to improve understanding of dengue and Zika virus circulation and interaction (https://www.imperial.ac.uk/news
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. Please follow the link at: https://www.cst.cam.ac.uk to find out more about our department. In addition to the base salary stated above, the successful candidate for this post will receive an additional
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. You will have evidence of post-qualification research experience, research experience in the analysis of large biomedical or biobank datasets, a proven ability to code and a strong publication record
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, econometrics or another relevant field. You will have substantial relevant research experience in complex trait genetics, a proven ability to code and a strong publication record. If no suitable applicant is
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and deploy advanced deep learning and foundation models for surgical scene understanding segmentation, tracking, and operator assistance. You will write, test, and optimise Python and C++ code for real
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discipline *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant. Expertise in atmospheric physics and chemistry Enthusiasm for coding of complex atmospheric
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: Comprehensive personalised Assessment, early Risk Evaluation and clinical management” (HER-CARE) project. The successful applicant will work on the project “Assessing the role of rare germline non-coding genetic
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data handling skills Understanding of data structures, data modelling and data management Ability to write robust, reproducible code in Python or R Experience writing academic publications independently
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workshops with carers or stakeholders, and qualitative data coding and content analysis, alongside conducting meta-systematic (umbrella) literature and policy reviews on caregiving experiences. A key aspect