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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
also supervised by Prof. Dr. Jana Sillmann, who is co-leading the Research Unit for Sustainability and Climate Risks (FNK). This Research Unit is devoted to inter- and transdisciplinary research and
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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All sea vessels, from large, manned ships transporting up to 80% of the world’s goods to small autonomous boats e.g. for search and rescue applications, require highly capable and intelligent radar
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employees). As an equal opportunity employer, the Leibniz-HKI is committed to increasing the percentage of female scientists and, therefore, especially encourages them to apply. For further information: Prof
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. You can read more about career paths at DTU here . Further information Further information may be obtained from Prof. Alexis Laurent (DTU Sustain, alau@dtu.dk ), Prof. Tine Rask Licht (DTU Food, trli
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can be defined as the westernmost part of the well-studied Frisian-Drenthe Plateau (FDP). While the FDB at large is a region of which the prehistoric occupation history is well known, most information
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writing assignment related to the post. You will work here You will become a member of the Public Administration and Policy Group at Wageningen, which is led by Prof. Dave Huitema. The PAP group is an
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related field. Interested? Contact Prof. David Wagg (david.wagg@shef.ac.uk) for more information. About the Research Environment: The Dynamics Research Group in the School of Mechanical, Aerospace and Civil
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uses world-class big-data omics analysis of immune cells, including RNAseq, genome-wide epigenetics, multicolour flowcytometry, cell sorting, multiplex cytokine analysis, as well as classical
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computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning