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knowledge of mathematical logic or Galois theory or algebraic geometry. Knowledge of model theory would be an advantage but is not essential. They are advised to contact Dr Kirby directly to discuss their
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Department of Chemistry Funded PhDs Funded opportunities to work on specific research projects in a variety of areas across the Department of Chemistry. Eligibility: PGR applicants in the Department
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statement that shows evidence of engagement with this advert. Further information on the PhD in Computer Science programme can be found at: https://www.cst.cam.ac.uk/admissions/phd All applications should be
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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Primary supervisor - Dr Julea Butt This exciting project will engineer light-driven microreactors converting nitrate to ammonia thereby delivering proof-of-principle for a sustainable technology
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programme +2 - covering 2 years of study for current postgraduate researchers 1+3 - covering Master's and Doctoral study Please see Additional Information for 1+3 and +2 application processes. Tenable period
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Project advert Video-based technologies can capture players’ match kinematic data. Recently, FIFA have implemented a video-based skeletal tracking system into their referee decision support
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been enhanced through predictive structural biology tools such as AlphaFold, which allow accurate prediction of effector structures from primary sequence. We recently identified a number of immune
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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