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Field
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System-on-Chip (SOC) Technologies provide an opportunity to underpin a number of capabilities for AI and related capabilities on platforms. This research, within the context of automotive systems, explores opportunities to design a high-performance RISC-V-based platform to support analytics and...
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) programme. The international, interdisciplinary, and cross-sectoral network gathers together leading experts in basic and applied soft matter and food sciences to train a new generation of young researchers
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PhD Studentship: Experimental Investigation of Pharmaceutical Tablet Disintegration and Drug Release
will explore the science behind tablet disintegration and drug release, using advanced imaging and analysis techniques to improve drug design and manufacturing. You will work closely with a UKRI-funded
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background in psychology, neuroscience, cognitive science, or a related discipline, and a keen interest in cognitive computational neuroscience. You will join a vibrant and supportive research team with access
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Effects of wetland management on aquatic biodiversity and water quality of Sites of Special Scientific Interest on theSomerset Levels and Moors DoS: Dr Paul Lunt 2nd Supervisor: Dr Angela Milne 3rd
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the field of green computing focusing on quantifying and reducing the environmental impacts of computational science. The tools and frameworks developed and maintained by the group are used internationally
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degree in statistics, computer science, data science or computational biology. Ideally, the applicant would have a background in both biology/biomedical sciences and statistics/data science. Applicants
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undertake ground-breaking research in the fields of impact engineering, shock- physics, and materials science, involving elements of both experimental and computational physics. You will be based at Begbroke
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. This is based in scientific knowledge informing international consensus that driving neuromuscular restitution rather than compensatory movement is required to improve movement outcomes. The PhD programme
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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which