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-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
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to make applications for funding of a higher degree (PhD/ DM) and doctoral fees which are not included in this post. PhD/DM training for clinicians in the School of Medicine is closely supervised and
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engineering and have or be in the process of obtaining a related PhD and a track record of successful research. They will be computer literate with strong communications skills and a proven ability to work as
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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-related tasks for the study. About you – You will have a PhD or equivalent in a relevant subject area, or be about to complete you PhD and be able to manage, plan and conduct research as part of the team
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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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Science Institute and the Nano and Micro scale research Centre. You should have or working towards a PhD in Engineering, optics or physics. Knowledge or experience on the use of Spectra Physics tsunami
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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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PhD (or equivalent) in food science, nutrition, or a related discipline, with experience in in vitro digestion, specifically using the INFOGEST static digestion model, nutritional analysis (minerals
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will have the opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio Candidates must hold a PhD, or be near