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the position We invite applications for a fully funded PhD position on the networked systems mechanisms, data paths, and open interfaces needed to support safe and efficient use of Generative AI (GenAI
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deadlines. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content Established as a central scientific institution of
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Chair of the Scientific and Technical Advisory Panel (STAP) to the Global Environment Facility (GEF)
Result of Service The GEF STAP’s Mandate is to provide objective, strategic scientific and technical advice on GEF policies, operational strategies, programs, and projects. The Chairperson shall act
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-Holstein (UKSH), is seeking a PhD student with a strong background in statistics, machine learning (ML)/artificial intelligence (AI), or bioinformatics. Our group develops novel computational and statistical
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to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), coordinated by SciLifeLab, aims to recruit and train the next-generation of data
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development and writing of manuscripts Preferred Qualifications PhD degree in a biological science, computer science, biostatistics or related area and / or equivalent experience / training About UCSF The
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of their passport’s information page containing their photograph and personal details. Read about the PhD education at SLU at this link Academic union representatives: https://internt.slu.se/min-anstallning/facket
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(R3) Application Deadline 11 Mar 2026 - 00:00 (UTC) Country Morocco Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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, the development and implementation of novel algorithms, machine learning for parsing biological data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer
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science across a wide spectrum of application domains, including computational social science (e.g., sociology and government), the economics/computer science interface, the aspects of digital agriculture