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highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
decomposed into modular sub-components that can be either process-based models and/or deep learning models. MCL has the flexibility to replace any uncertain process description with a deep learning model
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information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 15 May 2026 (23:59 Danish time). Apply
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Professor Tobias Weidner: weidner@chem.au.dk Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman
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information For further information, please contact: Professor Daniel Otzen, dao@inano.au.dk Application procedure Shortlisting is used. This means that after the deadline for applications – and with
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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the interfacial organic layer at the electrode surface to promote the selective reduction of CO2 to syngas, ethanol, or ethylene. In addition, the scale-up of the most promising processes will be done using
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Postdoctoral position to study Polo kinase and centrosome abnormalities in cancer and other diseases
centriole duplication, bipolar spindle formation, chromosome segregation, cell division, and proliferation. Dysregulation of Plk4/Plk1-dependent processes, by mutations in their associated cellular components
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experience in processing large data sets (preferably using R or Python) Highly motivated and eager to work in an interdisciplinary marine research environment Excellent communication and teamwork skills, with
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DEFINE brings together leading scientists in clinical medicine (dermatology, pediatrics, internal medicine and surgery), molecular biology, immunology, biomedicine, and systems research to investigate