72 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "https:" "P" scholarships at University of Nottingham
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). This studentship will include a placement at Astra Zeneca, Cambridge and is part of a broader Medical Research Council Programme grant focused to understand mucus regulation in severe asthma. The project will
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The rapid growth of deep learning has come at an extraordinary environmental and computational cost, yet the standard training paradigm remains remarkably unchanged. Every sample is passed through
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companies, spending approximately 75% of your time on-site. You'll gain real-world experience in industrial-scale composite manufacturing—exposure rarely available through academic programmes. Gain hands
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75% of your time on-site. You'll gain real-world experience in industrial-scale composite manufacturing—exposure rarely available through academic programmes. Gain hands-on experience with state
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are invited for a fully funded Industrial Doctoral Landscape Award in partnership with Siemens Digital Industry Software, focused on advancing the next generation of industrial Computational Fluid Dynamics (CFD
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be compared and calibrated. In-silico technique based on Computational Fluid Dynamics (CFD) will also be developed to provide further information necessary for the development of new MRI image scanning
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computational solid-state physics/ chemistry. Candidates with experience in the synthesis, the characterisation and performance testing or modelling of metal hydrides, complex hydrides and/or their composites
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individual with a 1st or a 2:1 degree from Mechanical, Manufacturing, Mechatronics Engineering, Computer Science or other relevant field. The candidate should have excellent analytical and communications
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
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student to revolutionise electrical machine design and development based on programmable 3D electrical steel technology enabled by advanced manufacturing processes and emerging magnetic materials