704 computer-science-intern "https:" "https:" "https:" "https:" "Central European University" PhD positions in United Kingdom
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(at least 5.5 in all sub-skills) or equivalent language qualification. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa
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sensory science, psychology, and human–computer interaction, and receive training in experimental design, immersive protocol development, and advanced analytics. Industry engagement includes placements with
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Semiconductors are key enablers of virtually every aspect of modern society from smart phones and computers to energy generation, communications, AI, defence, transport and healthcare. Without
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degree (or international equivalent) in Control Engineering, Robotics, Applied Mathematics, or a related quantitative discipline. Research experience in control theory or robotics is highly desirable
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will develop an integrated framework combining computational fluid dynamics (CFD) with quantum gas LiDAR measurements to improve the quantification of methane emissions. The central research question is
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or high 2.1 Master’s degree (or equivalent) in chemistry. A background in synthetic chemistry would be advantageous. References: 1) Chem. Soc. Rev. 2024, 53, 10380. https://doi.org/10.1039/D4CS00761A 2
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contact the School of Computer Science Postgraduate Research Administration Team at: ps-cs-pgr@exmail.nottingham.ac.uk You may also contact prospective supervisors directly. View All Vacancies
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additive manufacturing. This project will be closely aligned with the ATI research program (I-Break: Wire-based DED Technology Maturation and Landing Gear Application) and other industrial research projects
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Website https://www.bham.ac.uk/ https://www.heatherflowe.com/ https://www.birmingham.ac.uk/staff/profiles/psychology/colloff-melissa https://www.birmingham.ac.uk/staff/profiles/computer-science/academic
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Project description Electromagnetic (EM) sensing is emerging as a powerful enabling technology for modern high-value manufacturing. Advances in computing power and machine learning now allow us to