18 linked-data-"https:"-"https:"-"https:" Postdoctoral positions at Aalborg University
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Are you interested in working with sensitive health data and making a real impact on how it can be used safely and responsibly? At the Center for Clinical Data Science (CLINDA), Department
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these activities, you will help to strengthen the link between cutting edge research and education at the Department of Materials and Production, and you will take part in the day to day academic life
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responsibilities are assigned. The position is linked to the Nordic Baltic research project GAIYA: Generative AI in Education for Young Adults (2026–2030), funded by NordForsk. As postdoctoral researcher, you will
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innovative ways to utilize the many data sources already available in PREDICT, including registry data, genomics, microbiomics, metabolomics and epigenetics. The postdoc fellow will join a multidisciplinary
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Systems section and work on the development of advanced antenna architectures that enhance the reliability of the communication link between the drone and the operator. Your focus will be on replacing
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benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance
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machine learning to rich molecular data and uncover the molecular basis of IBD. The successful candidate will build prediction models from high-dimensional molecular measurements, with a particular focus on
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as part of the ORBIT Consortium. Work duties (e.g., data collection) will take place mainly in Denmark, but may also include data collection and participation in meetings in Sweden, Norway, and Finland
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research funding. Senior researchers will actively support access to Danish data sources (e.g., registry data, surveys, and organisations). Your competencies The ideal candidate has a background in
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/research/positions-of-strength We aim to create societal value through research that addresses concrete healthcare challenges and positioning the Faculty of Medicin as a frontrunner in the use of data