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. These emerging approaches indicate major opportunities for carbon reduction, improved biogas generation and circular-economy integration, but their impacts on sewer performance and wastewater treatment remain
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& multidisciplinary research programme focusing on evidence generation to further methodology research and to enable the design & development of in-vitro diagnostics and medical devices for patients and the NHS. NIHR
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societal costs. Recently, computational models based on in vivo microCT images have shown high potential to assess the biomechanical properties of bones. In this project, we will aim to show that microCT
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Automatization and Digital Enhancement of Characterisation Techniques: Joining the Dots between AI, Machine Learning and Materials Advances
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assess performance under realistic conditions. The project offers hands-on experience in heterogeneous catalyst preparation, HPLC analysis, porosimetry, chemisorption, XRD, and NMR, as well as kinetic and
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Application/interview Experience of managing a team of staff, including recruiting and developing a team, motivating high performance and effectively responding to performance issues in a fair and appropriate
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. The successful applicant will use a variety of imaging and computational image analysis techniques to generate a 3D morphometric atlas of post-embryonic stages of otic development in the wild-type zebrafish, with
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PhD Studentships to support doctoral research in the Arthur Scargill Archive at the University of Sheffield Faculty of Arts and Humanities 4 Year PhD Programme Funding Available UK Students View
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solutions for Tomorrow’s Engineering Research Challenges. As an AI Research Engineer, you will work on cross-cutting technologies that support a portfolio of short, high-impact projects funded through OMAIB
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Advancing Blood Pressure Monitoring with Wearable Technology and Multimodal AI (S3.5-COM-Sun) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Shaoxiong Sun