268 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Sheffield
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field data, the research assistant will help assess the accuracy, robustness and operational value of these algorithms for large-scale forest inventories and the detection of endangered species
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information and advice about how to tackle technical tasks, using in-depth knowledge of the University’s infrastructure. Maintain good relationships with contacts in departments to inform them about work being
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computer scientists how to process speech with computers and how to build speech-based technologies. Dr Anton Ragni of the SpandH group is responsible for teaching speech processing and speech technology
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an iterative approach where: Biomechanical Modelling: Data from observational and experimental work will inform and constrain comprehensive biomechanical models of nanostructure formation. These models will
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-supervise undergraduate research projects, including providing academic guidance on project design, data analysis, interpretation, and research communication. Contribute to quality assurance and enhancement
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the prediction of failure on modern composite structures. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities
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challenge in the 2030s will be, first, to find these "needles in the haystack" in a noisy data stream; next, to accurately estimate their parameters (mass, spin, orbital inclination etc); and finally to use
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remotely sensed datasets for the study region into a geodatabase. Apply remote sensing techniques to reconstruct glacier and volume over the last ~250 years, using geomorphological data, and satellite
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skills, experience of delivering presentations Essential Application/interview Excellent record keeping and data management skills, with appropriate IT experience Essential Application/interview Ability
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and responsibilities Conduct a comprehensive review and synthesis of existing air quality, health and economic data, applying quantitative and computational techniques where appropriate to ensure robust