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storage of SAF, so that the associated risks can be managed. We are looking for a skilled PhD researcher to investigate these corrosion risks, together with the Dutch Defence Pipeline Organisation. Your
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, and to evaluate the clinical performance of new technology in new clinical applications. The group counts with wide-ranging expertise in image processing, reconstruction, and analysis, as
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the European Green Deal. Achieving these targets is expected to create strong business cases, where carbon is no longer a costly liability but a valuable feedstock for sustainable fuels and chemicals. Based
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the European Green Deal. Achieving these targets is expected to create strong business cases, where carbon is no longer a costly liability but a valuable feedstock for sustainable fuels and chemicals. Based
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opportunity to tackle these two complementary perspectives. In the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools
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’How will the unique aquatic ectotherm communities in Antarctica cope with warming and bioinvasions?’ financed by the NWO Netherlands Polar Programme. The aim of the project is to predict effects
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) (scale P). Additionally, a contract for 0.8 FTE can be discussed. As for your contract, we initially offer a one-year contract that can be extended on good performance. Of course, we are happy to have a
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the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools. The goal is to extract governing equations directly from
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of core web technologies. You have solid experience in Python and JavaScript programming languages. You preferably have experience with building and using machine learning models. You care deeply about
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field experiments, including work at the renowned Jena Experiment in Germany. Measure plant performance and fungal diversity using ecological and molecular tools. Publish your findings in leading