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at the bottom of this page. If you have any qu eries regarding the vacancy or the application process, please contact Professor David Jones (d.t.jones@ucl.ac.uk). Customer advert reference: B04-06955
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how critical materials are produced — making the process cleaner, smarter, and more efficient. This is an opportunity to help reshape how critical materials are produced — moving toward smarter, data
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@uq.edu.au , stating the job reference number (below) in the subject line. Want to Apply? We welcome applications from all individuals and are committed to an inclusive and accessible recruitment process. To
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degree in Mechanical Engineering, Biomedical Engineering, Materials Science, Physics, Electrical Engineering, Robotics, or a closely related field. Strong research background in microrobotics, micro
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programme. To be successful in this role, you will need to demonstrate: A Ph.D. (or equivalent) in physics or engineering, specialising in photonic devices. Substantial and authoritative practical knowledge
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within the College of Engineering and Physical Sciences, this post will work closely with other researchers in Chemistry, Chemical Engineering and Metallurgy and Materials as well as collaborators
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and Te Aronui Please feel free to add any further comments you feel may also support your application. All applications must be submitted through the online application process. Further Information
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requirements Development of data analysis frameworks. Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data
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expected to be in the upper segment of their class with respect to academic credentials. Required qualifications: Applicants must hold a degree equivalent to a Norwegian doctoral degree in (Bio)physical
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university to have achieved Athena Swan Gold Award . To help you succeed, we published Candidate Guidance to provide support on the application and interview process. Discover our benefits, visit Your