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We are seeking to recruit a 2-year postdoctoral researcher within Human-Computer Interaction to work on the interdisciplinary project DARES: Data Quality for Responsible AI in Energy Systems funded
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8 Apr 2026 Job Information Organisation/Company Copenhagen Business School Department Department of Finance Research Field Economics Computer science Researcher Profile Recognised Researcher (R2
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and will involve computational and organic chemistry, biophysics and structural biology. The project will be in collaboration with the Gehringer lab, University of Tübingen. Information
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unique large-scale longitudinal data on artists and academic scholars, the project applies methods from applied econometrics and economic demography to analyze creative productivity, originality, and
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-of-the-art methodology in endogenous protein editing and tagging by CRISPR and integrase strategies. Training in state-of-the-art technologies and data analysis as well as research management, oral and written
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employment is 2 years. The preferred starting date is 1 November 2026 (or according to mutual agreement). The position is full time. You can read more about career paths at DTU here . Further information
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technology to real-world conservation challenges, working directly with data that informs habitat management and biodiversity protection. Expected start date and duration of employment This is a three year
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structures. You will work closely with computational researchers to gather data, evaluate AI predictions, and design experiments. You will work in a team with 7 PhD-students and 4 postdoctoral researchers and
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
should be sent electronically via the link "apply online" and the Faculty expects applicants to read the information "How to apply " before applying. The application must include: A letter stating your
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Job Description Are you passionate about data science and X-ray experiments? If so, this position might be perfect for you. We are seeking a data scientist to advance our analysis of complex data