498 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" PhD positions in United Kingdom
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techniques e.g. laser and optical instrumentation; computational/numerical modelling programming skills e.g. Python, C++. Eligibility Open to both UK and International applicants, including EU applicants. How
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University London (NU London) Project start date: October 2026 Supervisors (*lead): Osvaldo Simeone (Northeastern University London) Carlos Perez Delgado (University of Kent) Aligned programme of study: PhD in
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of Kent) Aligned programme of study: PhD in Computer Science Northeastern University London As part of a major investment, Northeastern University London (NU London) has multiple, fully-funded PhD
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candidate would have experience with computational modelling and control of dynamical systems. Other useful skills include scientific programming (e.g., Python or Matlab), control system design, and
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reduce obesity and diet-related disease. As part of a large, funded research programme we have an excellent opportunity to appoint a motivated and engaged PhD student to develop their knowledge and
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considered for Research Assistant. Strong programming expertise in Python and C++, with experience developing real-time robotic and AI systems. Experience in deep learning and computer vision, including
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skills with understanding of engineering design principles. Any experiences with CAD/CAM systems and programming are preferred. Funding Support The University promotes equality, diversity, and inclusion
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requirements for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. The studentship is supported for three years and include full Home or International
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supervision from an experienced team spanning Manchester Met and Chester Zoo. You will benefit from a skills training programme through our Doctoral College, and will be based in the Faculty of Science and
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benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions