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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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group at meetings. * Near completion means the PhD thesis has been submitted. Desirable selection criteria Experience with ultrasound imaging, including reconstruction, compounding, or segmentation
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such as potato and tomato, contributing broadly to more climate-resilient agriculture. Qualifications PhD degree in Plant Science or related discipline Expertise in gas exchange and chlorophyll fluorescence
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prototype testing and field demonstrations. While working within these application domains, you will have freedom to identify research questions, propose novel approaches, and pursue innovative solutions. We
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. The application must include Detailed CV including personal contact information Certificates/Diplomas (Master and PhD degree). If the PhD hasn’t been completed, please attach a statement from your supervisors