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and calves. The applicant will also be responsible for the delivery of the analysis of precision livestock technology data and epigenomic data and communication of results through scientific
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undergraduate degree in a relevant computational domain, such as engineering, physics, neuroscience, computer science, applied mathematics. Skills in computer programming (especially Python or C++ or Matlab) and
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of human perception – we would like you to help us unlock it using everything science and technology has to offer. In this PhD, you will primarily develop AI, computer vision approaches to analysing consumer
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PhD Project: Advanced 3D/4D-Printing of Responsive Biomaterial Devices Applications are invited for a PhD project within the University of Nottingham’s Faculty of Engineering, in the Centre
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PhD Project: 3D-Printed Drug Delivery “Microbots” for Personalised Healthcare Applications are invited for a PhD project within the Faculty of Engineering, in the Centre for Additive Manufacturing
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of Engineering at the University of Nottingham. The position is part of a larger project in collaboration with the School of Chemistry and you will work in a highly collaborative and interdisciplinary team
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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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extensively in the scientific elite, human resources in science and technology, innovation and entrepreneurship in nanotechnology and biotechnology, and the governance in science and technology. He is the
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong
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energy, nanotechnology and applied materials science. Applicants should hold a first-class (or equivalent) degree in a relevant engineering or science discipline (upper second class may be considered