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analysis. Experience analysing large data sets is also essential. Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and fixed-term until 29 February
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16 Sep 2025 Job Information Organisation/Company UNIVERSITY OF SURREY Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country United Kingdom
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further including to automated platforms to generate large statistical data sets. We will also experiment with untried higher spatial resolution techniques. The large, multi-dimensional data sets will be
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-immune and fibrotic disease. Towards this goal, we integrate big (‘Omics’) data with mechanistic molecular knowledge into statistical and machine learning methods, and we share our tools as free open
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flows, using data on e-mobility demand, traffic and parking patterns, and grid configuration. This work will contribute to the development of statistical models to predict and support power supply
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SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent or longitudinal data analyses is essential Experience of undertaking
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Klebsiella spp. infections, including those associated with antimicrobial resistance (AMR). As part of this post there is an opportunity to analyse large longitudinally collected sequencing datasets (both
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that combine qualitative and statistical analysis, and help develop study protocols. You will handle data management, cleaning, and analysis using appropriate statistical techniques, and work with parent
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will increase to Grade 6. Desirable criteria Experience with skeletal muscle tissue and single muscle cell (myofiber) handling Experience in handling, processing, analysing and interpreting large data
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An exciting opportunity is available for a talented researcher to join the large and successful Psychology and Health Sciences departments at the University of Southampton. You will join a large