67 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData" PhD positions at University of Nottingham in United Kingdom
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Second Class Honours degree (or international equivalent) in materials science, chemistry, chemical engineering, civil engineering, biochemistry, microbiology, or a related field. The Net2Zero CDT is
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(particularly cognitive or applied psychology) Cognitive Science Human–Computer Interaction Engineering or Computer Science Health sciences Experience in empirical research, experimental design, data analysis
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an excellent training opportunity for a PhD candidate through the multidisciplinary academic–industry supervisory team; access to state-of-the-art food chemistry facilities (International Flavour Research Centre
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international conferences in the UK and worldwide. The skills and expertise developed during this PhD will prepare you for careers in academic research, high-technology industries, power electronics
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, robotics, and machine learning. You will work within a multidisciplinary supervisory team spanning engineering, robotics, and computer science, and collaborate with researchers working on real-world
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or computational frameworks, developed in collaboration with partners with modelling expertise. This PhD offers the opportunity to work at the interface of plant physiology, root biology, imaging and quantitative
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at the interface of materials science and power electronics. Applicants should hold, or expect to achieve, at least a 2:1 degree (or international equivalent) in a relevant subject (e.g., Materials Science
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the postgraduate research environment. As a PGR at the University of Nottingham you will benefit from training through our Researcher Academy ’s training programme. Based within the Faculty of Engineering you will
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science, 3D printing, biotechnology, and engineering. Eligibility and Application This call is open to UK-Home students and to International students. Project start date and duration: Start October 2026
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centre for the development of medical imaging, particularly MRI. Eligibility You must be a university graduate or expecting to graduate with a 1st class degree in engineering, physics, computer science