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conducting lifetime modeling, developing advanced condition monitoring techniques, and applying data-driven analytics for lifetime prediction. You will play a central role in integrating experimental insights
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Postdoc: Geospatial AI Modelling & Uncertainty Quantification of Biomass Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
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with partners across Europe: data sharing, code exchange, joint publications and reporting. Your qualities You hold a PhD (or near completion) in Soil Science, Environmental Modelling, Biogeochemistry
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to localize anomalous sounds, related to faults, in a complex acoustic environment, characterized by moving sound sources and reverberations. Purely relying on physical models describing the acoustics
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Vacancies Postdoc position on Data enhanced physical reduced order Models Key takeaways The position is embedded into a large-scale effort between academic groups in the Netherlands and industrial
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-derived organoid models. You will work closely with in-house technology platforms, including the Single Cell Genomics Facility, Big Data Core and High Throughput Screening Facility. Our research is embedded
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through the Internet of Things create new opportunities to incorporate real-time insights into decision-making, combining tractable modelling with provably efficient solution methods. As a postdoctoral
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and data acquisition. Collaborate with EXIT071 to advance dzITP technology for diagnostic and drug discovery applications. Optionally mentor or collaborate with MSc and PhD students involved in
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on two current ongoing PhD projects, design and test methods that selectively stimulate flatfish to emerge from the sediment, facilitating their capture in the net. Together, the two Postdocs will develop
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a regenerative food system in the Netherlands? Are you interested in being embedded in an interdisciplinary research team? Do you have a PhD degree and skills set that puts you in a good position to