215 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" PhD positions in Denmark
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duration of 3 years. Applications for a 4+4 PhD programme are also welcome. The proposed starting time is spring 2026, with some room for flexibility. The appointment will be made at a competitive salary and
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The PhD programme Depending on your level of education, you can undertake the PhD programme as either: Option A: A three year full-time study within the framework of the regular PhD programme (5+3 scheme
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Ecoscience programme. The position is available from 01
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equivalent qualification) in physics or a closely related field is required, or for a 4‑year integrated Master’s and PhD program. Essential qualifications include: a strong motivation for fundamental research
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, prioritize the different aspects of the PhD plan, including participation in PhD courses, teaching and supervision of undergraduate students. Have good interpersonal skills. Be interested in engaging with
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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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or a closely related field is required, or for a 4-year integrated Master’s and PhD program. Essential qualifications include: a strong motivation for fundamental research a solid background in particle
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complete, a master’s degree in computer science, mathematics, statistics, IT, engineering, biotechnology, bioinformatics, economics, or a related field. Experience with programming in Linux environments
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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental
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. The successful candidate will join a growing research program focused on non-ionising imaging technologies for quantitative assessment of musculoskeletal function. BEC is committed to developing engineered