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sensors and monitoring technologies with data fusion and AI analytics, this research will enable timely identification of deterioration processes and assessment of their evolution/extent.Position 3
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focus on developing a dashboard solution to visualise raw sensor data and transformed/congregated data through AI and other data analytics methods. This will also involve integrating multiple data sources
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project (e.g. a PhD or MA thesis) Strong analytical skills (as evidenced in research projects and/or methodological training) Strong writing skills (as evidenced in a short writing sample) Desirable
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on advancing research in customer analytics. The role holder will work with the Cambridge Service
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presentation of results of collaborative research projects. Most of your analytical work will be based on Real World Data (RWD), in many cases from datasets mapped to the OMOP common data model such as the
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project (e.g. a PhD or MA thesis) Strong analytical skills (as evidenced in research projects and/or methodological training) Strong writing skills (as evidenced in a short writing sample) Desirable
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staff. Attending project steering group meetings. Essential Criteria A degree (or equivalent) in engineering, microbiology, physics, or a related field. Strong analytical skills and experience with data
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Background We are seeking an applicant for a fully-funded HORIZON-MSCA-2023-DN PhD studentship in the Department of Inflammation and Ageing at the University of Birmingham, in the group of Dr Niharika Duggal
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. Ability to work independently as well as part of a research team. High level analytical capability and an inquisitive mind. Ability to communicate complex information clearly A willingness to travel to
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) Have experience of analytical gel electrophoresis such as SDS PAGE and BN PAGE. (assessed at: application) Experience of developing collaborations. (assessed at: interview). Further Information Grade: 6