319 phd-position-in-data-modeling-"Prof"-"Prof" positions at University of Nottingham
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Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology Applicants are invited to undertake a fully funded three-year PhD programme in partnership with industry
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repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics
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to OEMs and large-scale global manufacturers. For more information, please visit the MTC website. Contact For further information on this PhD position please contact Dr Katy Voisey (katy.voisey
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Rolls-Royce University Technology Centre (UTC) in manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership
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setting, and what the mathematically necessary assumptions are. There are 2 positions available for this vacancy. The successful applicants will contribute to the development of results in the field
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biophysics. We welcome applicants from a range of backgrounds, including computational chemistry, biophysics, molecular modelling, or data science. If you are excited by interdisciplinary research and want
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resilience. We will use duckweed as a model to frame this question. In addition to being a model species, duckweed is also emerging as a promising new protein source that does not require arable land
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to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device (SFDI) and also from our custom-built photoplethysmography (PPG) sensor
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4-Year PhD Studentship: Deciphering how domain organisation regulates heparan sulphate function Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr Andrew Hook Overview Glycosaminoglycans (GAGs
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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