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Research and Innovation Services (R&IS) delivers a range of services which support academic and research staff to fulfil their research and enterprise objectives. In particular R&IS support the
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methods (statistics, ML, AI) with applications to energy and built environment problems and programming languages e.g. Python, R, Matlab, C# etc applied at highlighted scales. About you We welcome
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implementation including ethics committee documentation and R&D submissions. Training in clinical trials methodology including Good Clinical Practice will be provided. The post will be at registrar level and will
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quantitative data analysis; be skilled in the use of data analytics tools e.g. R, Python; SPSS or other data analysis software; additional software such as STELLA or Vensim and GIS; have the ability to plan and
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management software (e.g. EndNote) Experience of the following is useful: Statistical / modelling software, (STATA, R, winbugs) Health economic evaluation and decision modelling Evidence synthesis
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Centre, Welcome Trust Clinical Research Facility and strong NHS R&D Management. For an informal discussion about this post please contact the CTU Admin team by email: ctuadmin@soton.ac.uk The Faculty
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state-or-the-art R J Mitchell wind tunnel , producing a flight dynamics simulation model and training an adaptive neural flight controller using our High Performance Computing facility Iridis , conducting
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/listing/389187/research-engineer-r… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteUNIVERSITY OF SOUTHAMPTONCountryUnited KingdomCitySouthamptonGeofield
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experienced data scientist who excels in leadership, innovation, and collaboration. Essential qualities include: Expertise in Python (preferred) or R, including libraries such as NumPy, pandas, scikit-learn
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, innovation, and collaboration. Essential qualities include: Expertise in Python (preferred) or R, including libraries such as NumPy, pandas, scikit-learn, PyTorch, and TensorFlow. Strong experience in machine