44 parallel-and-distributed-computing PhD positions at University of Nottingham in United Kingdom
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are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful candidate will be based at the Rolls-Royce
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the “Dialling up Performance for on Demand 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
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simulations and computer-aided design, as well as training in more general training in scientific communication, project management, collaborative working, and mentoring and leadership. All these skills
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the “Dialling up Performance for on Demand 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
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the “Dialling up Performance for on Demand 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
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mapping of sites and X-ray Computed Tomography of soil samples. Full training will be given for all aspects of the work and strict health and safety protocols will be followed at all times. Keyword Search
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Open PhD position: Waste to Medicine Subject area: Drug Discovery, Sustainability, Laboratory Automation, Microfluidics, Machine Learning Overview: This highly interdisciplinary 36-month funded PhD studentship will contribute to cutting-edge advancements in automated drug discovery and...
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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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will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which
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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