235 programming-"the"-"DAAD"-"EURAXESS"-"Prof"-"University-of-Stuttgart" PhD positions in United Kingdom
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about the ones you don’t check! Familiarity with the theory of electromagnetic fields and waves. Experience with programming in C++ and / or Python. Some exposure to parallel computing, e.g., OpenMP, MPI
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project empowering carers through digital mental health solutions Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional
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full postgraduate research programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 3.5 years full-time or 7 years part-time. Continuation
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Specified use +4 - covering a full postgraduate research programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 4 years full-time or 8 years
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with a functional programming language Haskell, OCaml, etc. Funding: This scholarship covers the full cost of tuition fees and an annual stipend at UKRI rate (currently £20,780 for 2025/26). Additional
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funding restrictions, this is only available to those eligible for UK fees. How to apply: All applications should be made online . Under programme name, select School of Sport Exercise and Health Sciences
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PhD Studentship: Dissecting the Molecular Architecture and Function of LMTK3 as a Therapeutic Target
of interest, skills and previous experience, motivation for Doctoral Research, future goals, and why you are applying to this project. On the application system select Programme of Study – PhD
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Cranfield University's tailored researcher training programme – setting you up for a rewarding career in water science and environmental technology. Per- and polyfluoroalkyl substances (PFAS), also known as
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, are encouraged to apply. Programming experience and analytical skills are highly valued. The studentship will be awarded on the basis of merit. Students who pay international tuition fees are eligible to apply
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. Experience in working with large data sets, knowledge of statistics, and some programming expertise is essential. The project is based in ECEHH, at the University of Exeter’s Penryn Campus in Cornwall, and may