30 data "https:" "https:" "https:" "https:" "UCL" PhD positions at University of Nottingham
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support population-level prevention strategies. Further information: Applicants should have either a minimum 2.1 undergraduate degree in a relevant area (public health, epidemiology, economics, statistics
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mechanics. Skills you’ll gain Under the supervision of Charlie Heron and myself you will gain: Expert knowledge of centrifuge modelling challenges and solutions. Advanced programming/data analysis skills. How
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of experimental modelling challenges and solutions. Advanced programming/data analysis and simulation skills. How to effectively communicate complex and novel research. Opportunities to develop lab demonstration
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-edge adaptive mesh refinement techniques; a lightweight prediction tool developed upon the simulation data to predict key thermofluidic parameters for the design of high heat flux cooling components
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, enabling a more stable and efficacious drug delivery over conventionally dosed medicine. This work integrates high data-density reaction/bioanalysis techniques, laboratory automation & robotics and machine
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applicants who have a background or strong interest in Computer Science, interactive media, software engineering, 3D modelling/animation, VR/AR, human–computer interaction or related digital-tech fields
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global manufacturers. For details, visit the MTC website . For further information on this PhD position please contact Dr Sara Wang (Sara.Wang@nottingham.ac.uk ) Closing Date: 27th February 2026. Proposed
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) and X-ray absorption techniques. The student will also gain experience in using ultra-high vacuum apparatus, data processing and scientific programming, as well as training in more general skills such
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combination of academic and industrial challenges which will enhance the student’s ability to tackle complex intellectual and practical aspects of computer vision and robotics. We are seeking talented
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submit your application via the My Nottingham platform without having contacted our team first. Please contact the UTC Mechatronics Lead, Dr Abdelkhalick Mohammad, for further information. Email