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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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studies limited to crystalline POMs and remove existing confines imposed on the rational design of tailor-made non-crystalline POMs to meet unmet needs in fields such as energy storage, sensors, catalysis
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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large international network. Furthermore, we collaborate extensively with other groups, including both clinical and basic pharmacology researchers as well as environmental medicine specialists
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a focus on mentoring and individual career development. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication, and networking
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of publications in high-ranking international peer-reviewed journals Contribute to public dissemination of policy and management relevant knowledge Participate in network building activities both internationally
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
/ ). The candidate is expected to support Prof. Katrin Vorkamp’s research in this centre, with possibilities for networking and exchange on PFAS. However, the candidate is also expected to contribute to Prof. Katrin
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connection to the research environment, and a comprehensive national and international research network and good industrial and professional collaboration. Please refer to Department of Animal and Veterinary
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-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of eight research sections with