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methods to account for it. Specifically, the group investigates how socioeconomically skewed participation, that is expected to be magnified by differential attrition with increasing age, risks distorting
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populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
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populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
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are motivated to learn EV and small-RNA methods are explicitly encouraged to apply. Required qualifications PhD degree in Plant Science, Plant Physiology, Plant Molecular Biology, Microbiology or a related
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of antenna design for UAV communications as per August 1, 2026, or as
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developing new visualisation strategies to aid delineation, as well as developing deep learning methods to enhance photon-counting CT images and better visualise tissue boundaries. The project will also
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be part of a work package for the project “Enhancing Democratic Support under Conditions of Geographic and Intersectional Inequalities in Europe” (EDGE). The work package is led by associate professor