3,054 master-"https:" "https:" "https:" "https:" "Robert Gordon University" PhD positions
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international consortium and attending network-wide training events; Writing academic publications for peer-reviewed international journals; Assisting in teaching courses and supervising Bachelor/Master theses
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/ part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No deadlines For details, see here: https://www.gradschool.physics.uni-bonn.de
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at international conferences Contributing to teaching activities by assisting in undergraduate and master's courses Collaborating with members of Prof. Shahidzadeh and Prof. Hannelore Derluyn's group. The project is
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to apply Website https://amethis.doctorat.org/amethis-client/prd/consulter/offre/2893 Requirements Research FieldGeosciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Master’s degree in
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, please visit: https://qbm.genzentrum.lmu.de/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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from March 19, 2026, to April 19, 2026. Please refer to the original announcement. Website for additional job details https://www.it.pt/Positions/PostDoc/815?page=1 Work Location(s) Number of offers
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geral@ess.ipp.pt Website https://www.ess.ipp.pt/ DURATION AND WORK REGIME Scholarship contract for a period of 12 months, potentially renewable until the end of the project’s execution period, on an
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Networks Programme and PhD project, please contact Dr. Rustamjon Urinboyev at rustamjon.urinboyev@soclaw.lu.se , Principal Investigator of the SOCIAL Doctoral Networks programme. Where to apply Website https
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 26 days ago
employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed to mastering the great challenges facing society today. The Center for Advanced Systems Understanding (CASUS
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strong interest in foundational machine learning research and its application to real-world scientific problems. You should bring: A completed university degree (Master or equivalent) in computer science