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in this kind of environment will result in models too large to be handled and too instable to be solved. Data-driven approaches need to be used in addition to enrich the physics-based models
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on carbon turnover models and the fusion of data science forecasting methods with process-based models (hybrid modelling) to map soil and biomass carbon fluxes across Europe at high resolution. Your
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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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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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applications for a fixed-term research position in statistics and data science, as part of the NWO (Dutch Research Council) project “Digital Behavioural Data to Enhance the Quality of Regional Estimates
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motivated and independent researcher with: a PhD in marine biology, ecology, or a related field. experience in marine mammal research, particularly in data collection and (statistical) analysis. strong
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. Your PhD thesis and/or an academic paper. You may apply for this position until 10 September 11:59pm / before 11 September 2025 Dutch local time (CEST) by means of the application form (click on "Apply
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postdoctoral researcher, you will use various techniques to investigate fiber-reinforced structures in nature (i.e., fungi), including additive manufacturing, computer simulations, materials testing, and
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will combine BERT type models and Large Language Model (LLM) to examine research publications and patents, in combination with other unstructured data sources such as policy documents, media, call