689 computer-science-intern "https:" "https:" "https:" "https:" "Central European University" PhD positions in United Kingdom
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: 30th April Duration: 36 months Funding: Funded Funding towards: Home fee/international fee Stipend -UKRI stipend rate for UK students. Funding details: Fully-funded scholarship for 3 years covers all
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Advanced Process Intensification Strategies for Chemical and Catalytic Reactions Using Taylor–Couette Reactor Technology Award Summary 100% fees (UK home only), a minimum tax-free annual living
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should clearly demonstrate that you meet the following essential criteria: Degree or equivalent in subject relevant to research activity such as food science, nutrition, biochemistry, chemistry or related
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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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. Reporting to Peter Visscher. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics, econometrics or another relevant field
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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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, Computer Science or a closely related field, ideally with a strong focus on quantum computing and numerical simulations. Experience in data-reuploading quantum algorithms, optical quantum computing and quantum
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Fully funded 4-year PhD studentship in Computational Chemistry Supervisor: Dr Zsuzsanna Koczor-Benda, UKRI Future Leaders Fellow (FLF) We are looking for a highly motivated and talented PhD
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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