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will be enrolled in the electrical engineering doctoral program at ETH Zurich. The project is embedded in the National Competence Center for Research Muoniverse and funded by the Swiss National Science
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computational scientific workflows. Experience with scientific programming (Python or similar) Experience working in Linux-based computational environments Documented experience with high-performance computing
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the wind/renewable energy training and research elements of the CDT programme. Funded by Statkraft and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area of data
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can also be written in English. The RTG uses English as its main language. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application
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materials chemistry and excellent analytical skills. Proficiency in scientific programming (e.g. in python). Excellent oral and written English language skills. Strong collaborative skills, team spirit and
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a strong background in computer networking and distributed systems, including protocol stacks and network performance concepts. The degree must correspond to a five-year Norwegian degree programme
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entry requirement for the Doctor of Philosophy program by Curtin University and English proficiency IELTS level 7. Eligibility criteria The successful candidate(s) will have: First class or upper second
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applicable, pursue an Integrated PhD programme. Further information is available in Integrated PhD . You must have a strong academic background from your previous studies and have an average grade from your
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opportunities for robots to interpret human intent, generate executable programs, and autonomously adapt their behaviour in dynamic environments. However, integrating these capabilities into real-world industrial
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the Institute of Health Informatics. The studentships will commence from Oct 2026. About the project Successful applicants will work with the programme coordinator to identify a project and a supervisory team