114 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "PhD Jobs" positions at University of Nottingham
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for these posts. Please click here to view more information for Sutton Bonington Campus: https://www.nottingham.ac.uk/about/campuses/suttonboningtoncampus.aspx What’s in it for you? Ongoing support to develop your
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to Apply Applicants are invited to submit their applications via the application link below. https://jobs.nottingham.edu.cn/job/184340/ Applications should include but are not limited to the following: A
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email address will not be accepted. Please Quote Reference: NHE250425 All of our vacancies are available to view at: https://www.nottingham.ac.uk/jobs/home.aspx Our university is a supportive, inclusive
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of Nottingham. The Rolls-Royce UTC at the University of Nottingham is a leading research institution specializing in the development of soft and continuum robots for challenging environments (https
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effectors (https://www.youtube.com/watch?v=A_CTqVFJ7Jc). At the Rolls-Royce UTC, we have a unique capability to design, model, and develop robotic systems tailored for operations in restrictive environments
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aluminium windings in specific high-performance applications, the PhD work will be focused on developing novel motor topologies featuring CNT windings, including designing and testing of optimised prototypes
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experience with coding, e.g. MATLAB or LabVIEW, would be beneficial. Familiarity with multiphysics simulation tools is desirable. Evidence of creative thinking and the ability to work independently. Industry
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experience with coding, e.g. MATLAB or LabVIEW, would be beneficial. Familiarity with multiphysics simulation tools is desirable. Evidence of creative thinking and the ability to work independently. Industry
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and willing to tinker with equipment. Interested in how machine learning and modelling techniques can impact real-world processes. Experienced with kinetic analysis and/or coding (MATLAB or Python
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and qualitative coding of data sources for analysis. Writing up of findings for contribution to academic publication. Collaborative work across the University of Nottingham and with international