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Footprint (PEF) regulations at European level, including the development of PEF Category Rules (PEFCR) for space. About the host organization Technische Universität Dresden (TUD) is one of the largest
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spectrum from basic and applied research to pre-industrial development and is carried out in cooperation with national and international partners from universities, academies and industry. The institute is
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): https://go.fzj.de/bmi.tvoed PERSPECTIVE: The position is initially for a fixed term of 3 years but with the prospect of longer-term employment SUPPORT FOR INTERNATIONAL EMPLOYEES: Our International
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applying for personal fellowships, such as FWO Access to state-of-the-art facilities and training in advanced techniques. Opportunities for career development, networking, and mentorship. Support
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, offering one of the most stimulating environments for scientific development. Open to the world, it is a place teaming of interaction, with a diverse student population, efficient support structures, and
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development Outstanding knowledge of empirical social research methods Advanced competence in statistical methods and computer programs for analysis of quantitative and qualitative empirical data (e. g. SPSS
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The Industrial Systems Institute (ISI) is a leading R&D institute of excellence conducting basic research and exploratory development on Information and communications technology (ICT) for the Greek and European
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ability to work independently and as part of a multidisciplinary team in the development of scientific activities. Work Plan: Research in rock art archaeology, involving a robust transdisciplinary framework
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? Not funded by a EU programme Reference Number AE2025-0571 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 7 days ago
learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and tools for efficient software development (e.g., Co-pilot, Cursor). Desirable: Basic knowledge of data analysis or experience