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risk. These studentships are ideal for candidates with a strong background in computational biology, bioinformatics, population genetics, and statistical genetics and an exceptional interest in
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Action Plan for a national noise hot-spot. Ideal profile: honours degree (2.1 +/MSc) in environmental science, data science, public health, geography or similar; experience with R/Python statistics
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, or Matlab). The student should also have a basic knowledge of statistics and an interest and enthusiasm for weather-energy and climate energy links. Support: The student will have weekly meetings with
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-disciplinary across statistics, operations research, and computing. Knowledge of basic statistics is essential along with some experience in statistical computing or programming (preferably in R). Skills
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qualitative research, such as focus groups or interviews. Applicants should be confident in numeracy and statistics. Experience with statistical software, such as R, or thematic analysis is an advantage
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analytical methods for the analysis of linked data from electronic health records and genomic or molecular sources. Strong statistical skills (e.g. proficiency in R or Stata), along with excellent writing
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experience of handling data/knowledge of statistics is desirable. Support: The student will have participated in team meetings several times a week and will also actively participate in the bi-weekly technical
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Reporting. For any subject-specific queries, please contact Dr Faizul Haque (F.Haque@soton.ac.uk ). Banking and Finance: seeking students with expertise in Big Data Modelling. An MSc degree in Statistics
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dynamics and statistical physics. The BBGK equation is the governing equation for hypersonic, rarefied flow problems in aerospace and microfluidics, where the continuum and equilibrium assumptions of Navier
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design and statistical analysis as well as demonstrable software engineering skills. We are looking for an independent, enthusiastic, and driven candidate with a passion for games development and