742 systems-science-"https:" "https:" "https:" "https:" "Univ" PhD positions in United Kingdom
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Requirements Essential Criteria MSc (or equivalent) in a relevant discipline (e.g. Computer Science, Robotics, Architecture, or related fields). Knowledge or experience in robotics or architectural systems
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Join a fully funded, industry-sponsored PhD at the University of Nottingham (Mechanical & Aerospace Systems research group), in partnership with the Manufacturing Technology Centre (MTC). You will
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Application deadline: All year round Research theme: Applied Mathematics, Computational Metallurgy UK only This 3.5-year PhD project is fully funded and home students are eligible to apply
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comparisons. Second, reporting of initial and subsequent randomisation procedures is often incomplete. Third, primary aims and estimands are frequently unclear. Finally, embedded‑regime and tailored‑regime
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up to a £5k/annum research training support grant for the full duration of the 4-year programme. Metal-ligand multiple bonding is a burgeoning area for making chemically novel structural motifs
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(a.mcdowall@bbk.ac.uk) who will answer informal queries. The closing date for applications is Tuesday 7th April 2026 at 23.59 UK time; late applications cannot be considered. Applications will be reviewed by
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
, Chemistry or Electrical Engineering with experience in photonics, optoelectronics in graphene and related materials, physics of low dimensional systems, plasmonics, near-field optics, CMOS technology and
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, you will benefit from being part of a large international team that is studying the B. subtilis circadian clock from molecular to ecological scales. Specifically, the project is in collaboration with
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health. This is an exciting opportunity to work in a high profile, a pioneering initiative to develop novel built environment models to inform health outcomes. HD4 is a major international collaboration
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PhD Studentship: SURVAI – Smart Urban Representation for Visual AI Infrastructure Management The project How can we build AI systems that understand entire cities, from satellite height to street