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for a PhD Research Fellow in Data-Driven Computational Mechanics for Offshore Wind Energy at Geophysical Institute (GFI). The position is for a fixed-term period of 3 years with the possibility of a
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of novel satellite data analysis algorithms and solutions that will form the technology foundation for new products. The position is for a period of three years. Admission to the PhD programme is a
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. The position is available from January 2026. This trainee position offers promising researchers an opportunity for academic development through a PhD program. The hired candidate will be admitted to the PhD
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Pavement Design and Modelling) Posting Start Date: 06/10/2025 Job Description: Job Description The National University
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for a PhD Fellowship in Mathematics at the Faculty of Arts and Education, Department of Education and Sports Science. The position is vacant from 01.08.2026. This is a trainee position that will give
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knowledge, skills and attitudes. Do you want to take part in shaping the future? PhD position There is a vacancy for a PhD Research Fellow in Data-Driven Computational Mechanics for Offshore Wind Energy at
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information, to form relationships for future collaborations and identify potential sources of funds and/or opportunities for collaboration. About You The candidate must have obtained a PhD degree within 3
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write English fluently is a prerequisite. Contacts Applicants seeking further information regarding the PhD position are invited to contact: For information about application requirements and mandatory
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 16 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow, Biological Sciences_Song Division Academic Affairs Department College of Science (Col) Work Unit
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Deviations” (TOMABOLD), funded by the Research Council of Norway. The PhD position will focus on the large deviation analysis of probabilistic models, and associated problems in PDE, with emphasis