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networks bridging metadata, text mining and FAIR data principles Contribute to publications, funding bids, and supervision of students You will have: A PhD or equivalent experience in life science or
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 30 Nov 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Is the job
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2 Fully Funded PhD Candidate positions in GENIUS MSCA Doctoral Network hosted at University of Derby
Candidates will start by September 2026. Though some positions require an earlier start date, please visit the GENIUS website for more information . Website for additional job details https://www.genius-dn.eu
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with the ambition to grow. For more information about LIACS, see http://www.cs.leiden.edu Terms and conditions We offer a full-time 1 year term position for initially one year. After a positive
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compliance, as well as downstream verification & validation activities, such as software testing and runtime verification. For further information, you may refer to https://www.uni.lu/snt-en/research-groups
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and databases, computing, data mining, and analysis. Act as a liaison between end-users, software developers, system designers, and different departments. Establish protocols or best practices
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, structural design, structural reliability methods and circular economy of built environment, and applications of artificial intelligence (AI) for data mining, processing, and modelling. As the Research
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strong community of 90 researchers and lecturers, including more than 40 PhD candidates in information systems, supply chain management and innovation management. You join a department which has a strong
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students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . About the position Financial institutions have to verify many
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-im https://www.bergbaumuseum.de/en/research/research-projects/commodity-frontiers https://www.leibniz-gemeinschaft.de/forschung/leibniz-wettbewerb/leibniz-kooperative-exzellenz Information on data