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profile to the work plan to be developed – Weight: 40% C. Experience in handling and interpreting data from massive sequencing techniques - Weight: 20% The final classification (CF) will be presented on a
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Research Framework Programme? Other EU programme Reference Number 101131765 – EXCITE2 Is the Job related to staff position within a Research Infrastructure? No Offer Description NOTICE OF THE OPENING
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focus more on model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust
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Application Deadline 12 Sep 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Job Code: 9521 - Research Assistant and 9529 - PhD Candidate Research Assistant Employee Class: Grad/Prof Student Position This position will provide support for lesson plan development relating
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model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate
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throughout the laboratory and have close ties with ongoing collaborations in astrophysics and experimental physics. This position provides an excellent opportunity for an early career scientist to develop
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Programmes Equity Fields of Action Networks for Equity Kontakt Team Equity News and publications Back Press Releases attempto online Newsletter Uni Tübingen aktuell University of Tübingen magazine Attempto
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) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS