323 cloud-computing-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions at University of Sheffield
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or Computer Science. Specifically, applicants must demonstrate experience in writing tools to address flaky tests and have encountered them in practice, including the implementation of mitigation
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planning, student intake forecasting, tuition fee setting and new programme financial viability assessments. This involves collaborating with other professional services teams, analysing complex information
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engineers to monitor and maintain shell structures in real time. By combining data from sensors with advanced computer models, a digital twin can continuously track how a shell responds to changing loads and
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Overview Our postgraduate research student community plays a central role in the research life of the University. PGR students undertake their own programme of research, supervised by an academic
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Advancing Human Motion Understanding through 3D Modelling and Foundation Models (S3.5-COM-ZChen) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Zhixiang
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/have equivalent postdoctoral level work experience) in remote sensing, plant science, computer science or a related field Essential Application Have experience or knowledge of plant science Desirable
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evaporation and flow patterns can disrupt the uniformity of the ink film, and in turn degrade the quality, performance, and value of the film. The PhD research programme will look to find ways to control; (i
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the team to ensure a programme level approach. This may include supporting external review processes such as accreditation. Undertake data collection and collation required for the teaching timetable
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Synthesis of Heteroaromatic Boronic Esters via Annulation Reactions of Ynone Trifluoroborate Salts School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof Joe Harrity Application Deadline: Applications accepted all year round Details About the Project We have recently...
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Patient-Specific Cardiovascular Assessments and Treatment Planning through Computational Modelling (S3.5-COM-Xu)