730 systems-science-"https:" "https:" "https:" "https:" PhD positions in United Kingdom
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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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to older adults, with some studies showing non-financial challenges to be the greater issue. Better understanding of food provisioning among older people is a crucial priority area for the project partner
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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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Scheme funded by the AHRC. Project Description The project focuses on Take One Picture (TOP) – a national programme for primary schools launched in 1995 by the National Gallery (NG) – to develop a new
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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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, and family life. If untreated, these disorders often persist into adulthood, increasing the risk of recurrent mental health problems. Therefore, early intervention is essential to reduce both immediate
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policies relating to gender balance, equality, and opportunities for women. Funding Only home students can apply. Tuition fees will be covered for the duration of the 3.5-year award, which is £5,238
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to close-to-magnet particle doses. The stability of a given austenite grain is governed by local microstructural parameters such as the local chemistry, grain size, orientation, the surrounding microstructure
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Studentship Information Supervisor: Vinay Shukla Subject Area: Plant & Crop Science Research Title: Root oxygen dynamics and development Research Description: The student will be part of a
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is critical to enhancing the economics of large-scale offshore wind energy projects. Prediction of the localised turbulent wind conditions onset to each turbine location is a key input to determine