52 phd-studenship-in-computer-vision-and-machine-learning PhD positions at University of Nottingham
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applicant will be invited for an interview in the week starting on 10th February 2025, where successful candidates will be invited to formally apply for the PhD program. Funding Notes Excellent candidates
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amounts of data required for effective monitoring. This data-driven approach can result in high costs, increased computational demands, and logistical challenges in data storage and processing. A crucial
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Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading academics from 5 universities, and 11
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3-year PhD studentship: Scaling-Up Functional 3D Printing of Devices and Structures Supervisors: Professor Richard Hague1 , Professor Chris Tuck1 , Dr Geoffrey Rivers1 (1 Faculty of Engineering) PhD
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2025 (or as soon as possible thereafter) PhD project Fully Funded by External Company (UK students only) Project description Finding alternatives to fossil fuels is an imperative for modern society
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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, Physics, Computer Science or similar Enthusiasm for hands-on experiments Basic coding abilities in any language (e.g. Python or MATLAB or C/C++) Excellent communication skills The ability to work
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perception Research Description This PhD studentship offers a unique and exciting opportunity to delve into the fascinating world of food science and consumer behaviour. In collaboration with the prestigious
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3-year PhD studentship: Investigating building physics for the Design of Resilient, Healthy and Energy-Efficient homes Applications are invited for a fully funded PhD studentship (3 years) within
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collaboration with the University of Nottingham to envisage and shape the construction industry's future, towards achieving its zero-carbon vision. We are looking for a research assistant/fellow with experience