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integrate research prototypes into shared software and workflows Publish your findings in scientific journals and present them at international conferences, contribute to open-source research software
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matches the formal requirements to enroll in a PhD program at the University of St.Gallen: https://www.unisg.ch/en/studying/admission/admission-phd/ Applicationss will start to be assessed on a rolling basis from 15.10.2026.
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und Stellenangebote > Academic staff > Wissenschaftliches Personal High Performance Computing Back to News Board Browse in News PhD Position in High Performance Computing
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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | 19 days ago
. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/308534/phd-candidate-in-robotics… Requirements Research Field Computer science Education Level Master Degree or equivalent
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may close at any time) Job Summary We are seeking a highly talented PhD Student with experience and interest in state-of-the-art AI technologies, data science, and research software engineering, a
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://www.ulb.be/en/about-ulb/gender-equality-at-ulb . Where to apply Website https://academicpositions.com/ad/universite-libre-de-bruxelles/2026/3-phd-posit… Requirements Research Field Communication sciences
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of 3 PhD students and 1 study engineer. Shared experimental areas, teamwork highly valued, weekly working meetings, and weekly lab and/or unit seminars. Where to apply Website https://emploi.cnrs.fr
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engineering, data science or a related field. A subsequent PhD is not required but would be a plus At least a few years of industry experience in software engineering, data engineering, scientific
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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | 17 days ago
Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/308321/phd-candidate-in-high-per… Requirements Research Field Computer science
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, amorphous pharmaceuticals, and data science. The project will provide the PhD student with strong interdisciplinary training in FAIR data practices, software development, and data modelling and