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responsibilities will include: Establish and Lead Innovative Research: Develop a research programme addressing the Centre's strategic areas in cancer genome discovery, diagnostics, and translation. Foster
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, automotive, electrical/electronic engineering or computer science. Also, experience in the following areas is highly desirable: Control development and implementation, including neural networks Instrumentation
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organised by the College of Medical, Veterinary and Life Sciences Graduate School. Full details of the programme are available at http://www.fom.gla.ac.uk/RDTC/ Regular attendance and contributions
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innovative research culture in the Centre. The Research Fellow will use their research knowledge, skills and experience to contribute to the design and delivery of an ambitious research programme within
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. Probabilistic rational models, implemented as either Bayesian models or deep neural networks, have been proposed as standard models, from low-level perception and neuroscience to cognition and economics. But
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responsibilities will include: Establish and Lead Innovative Research: Develop a research programme addressing CCGCM's strategic areas in cancer genome discovery, diagnostics, and translation. Foster Collaborations
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, automotive, electrical/electronic engineering or computer science. Also, experience in the following areas is highly desirable: Control development and implementation, including neural networks Instrumentation
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medical data Understanding of and experience working with digital neural networks Experience working collaboratively within a multidisciplinary research team Demonstrable career trajectory in AI Health
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An exciting opportunity has arisen for an ambitious researcher to join our team working on a UKRI-funded project named African SCENe (Sustainable Community Energy Networks). This project aims
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or heterotrophic) and a track record of translating the microbiological properties of these microorganisms into engineering applications. The role will also involve using coarse filtration (mesh or cloth filtration