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and Primary Care and Medical Genetics. They will support and conduct analyses of complex datasets, involving both the development of novel analytical methods and the application of existing techniques
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support commercialisation of a simulated autonomous road maintenance vehicle. Study CAV interfaces and propose and design a standard API for the cloud-based platform. Key Competencies: Strong analytical and
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-modal datasets. It will use advanced analytical models to generate evidence about new and existing inflammatory pathways and how these will impact the progression of dementia. The PhD (DPhil) programme
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-Based Modelling ✔ Data Science & Advanced Analytics with real-world SCADA data ✔ Renewable Energy Systems & Wind Turbine Engineering ✔ Industry Engagement & Research Commercialization ✔ Scientific Writing
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Upper Second Class honours degree (or equivalent) in engineering, software development, or another quantitative-focused discipline. Ideal candidates will be analytical, self-motivated, and interested in
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contact Dr Renatas Kizys (R.Kizys@soton.ac.uk ). Decision Analytics and Risk: seeking outstanding students in our members' areas of expertise, including Business Analytics and Risk Analysis that provides
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analytical skills Willingness to travelling to international collaborators and science facilities for experimental work (expenses will be covered) The following skills are also highly desirable: Strong
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, efficacy and benefit/risk of biological/immunological VMPs including vaccines. Applying your analytical and problem-solving skills quickly to assimilate scientific and other information, identifying issues
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provide real-world insights and infected sample sets for testing. Student will join an enthusiastic, friendly, and supportive group of researchers who are all working on various analytical and experimental
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advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to enhance public health. This PhD is funded as part of the HDR UK Inflammation and Immunity Driver