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data integration. Knowledge of python and R is essential. This is a full time (35 hours per week), and you will be offered a fixed term contract until 30 June 2027. About You To be successful in
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will have a background in computer/data science, and specifically have computer programming experience, working with programming languages such as Python or R, in order to develop and maintain data
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technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques
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to support the liaison with clinical teams and NHS R&D offices across the UK, recruiting patients, and carrying out the trial assessments. Project 2 The post-holder will work across three clinical
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and statistical analysis plan. They should have experience in epidemiological analysis using routine healthcare datasets, along with advanced skills in coding in R and/or Stata. Completion of MRC
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of yourself and your team Ability to work independently but also as part of a team Desirable criteria MSc in Immunology Experience with GraphPad Prism and/or R Authorship contribution(s) to peer-reviewed
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, Management Science or closely related field. Experience of designing and performing data analyses. Excellent programming skills in Python or R. Excellent written and verbal communication skills. Demonstrated
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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degree, ideally a doctoral degree, in a relevant topic. The post requires strong quantitative skills with expertise in a common statistical package such as Stata/R and the ability to work with large
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degree, ideally a doctoral degree, in a relevant topic. The post requires strong quantitative skills with expertise in a common statistical package such as Stata/R and the ability to work with large