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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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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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or equivalent in a relevant subject area (physiology/neuroscience/neural engineering/physics) or near to completion of a PhD, and be experienced in a variety of quantitative research methodologies
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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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
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of precision livestock technology data and epigenomic data and communication of results through scientific publications and presentations at conferences. The applicant must have a PhD (or be very close to
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is looking for ambitious, talented academics with a passion for teaching as well as research flair to join its team of science and engineering experts. UNNC is part of the University of Nottingham’s
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ability to make independent decisions while working under pressure and have proven leadership and motivational skills. Candidates should also have working experience of the technology used in security
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materials science. Applicants should hold a first-class (or equivalent) degree in a relevant engineering or science discipline (upper second class may be considered depending on the bachelor's/master's