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A full-time position as research assistant or postdoc (37 hours/week) is vacant across the Center for Integrated Multi-omics in Precision Medicine (CIMP) and the Danish Spatial Imaging Consortium
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hybrid models that integrate limnological knowledge into machine learning models following the paradigm of Knowledge-Guided Machine Learning (KGML). The position is part of an on-going project
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. Nature Physics20, 970 (2024)). You will also work on expanding our coherent imaging methodology to look at dynamics and phase switching in materials at the nanoscale (Johnson et al. Nature Physics19, 215
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, load modelling, soil–structure interaction, and relevant degradation and failure mechanisms over extended service periods. Within the scope of the project, a small-scale prototype will be tested in AAU
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as Embedded AI, Edge AI, TinyML, and AIoT
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
hybrid models that integrate limnological knowledge into machine learning models following the paradigm of Knowledge-Guided Machine Learning (KGML). The position is part of an on-going project
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(reNEW ), placed in modernised research facilities and include state-of-the-art laboratories, pleasant office facilities and access to high-quality core facilities in transcriptomics, imaging, flow
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to recruit a candidate with the following qualifications: A PhD degree in political science, practical/political philosophy, or a related field with a strong emphasis on political theory (required); A