125 phd-mathematical-modelling-population-modelling Postdoctoral positions in Netherlands
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- University of Groningen
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- European Space Agency
- University of Twente
- Utrecht University
- Wageningen University and Research Center
- Leiden University
- Eindhoven University of Technology (TU/e)
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- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus University Rotterdam
- Max Planck Institute (MPI) for Psycholinguistics
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- Wageningen University & Research
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc)
- University of Twente (UT); Enschede
- KNAW
- Leiden University; 's-Gravenhage
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Nature Careers
- Princess Máxima Center for Pediatric Oncology
- Princess Máxima Center for Pediatric Oncology; Utrecht
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Tilburg University
- Tilburg University; Tilburg
- University of Groningen; Groningen
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Amsterdam (VU); Amsterdam
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large language models and generative AI has highlighted the need to understand how the creative mind works when translating and the differences experienced by readers and viewers when working with
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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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so far and to sophisticate them and establishing a platform to achieve international guidelines. The postdoc will work closely with two PhD candidates. One of these candidates investigates
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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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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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collaboration with modelling (WP3) and societal uptake (WP5) partners; · Development of standardized indicators for evaluating technical, ecological, and societal outcomes. This WP involves close
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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availability of data and connectivity through the Internet of Things create new opportunities to incorporate real-time insights into decision-making, combining tractable modelling with provably efficient
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so far and to sophisticate them and establishing a platform to achieve international guidelines. The postdoc will work closely with two PhD candidates. One of these candidates investigates
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/GNC systems has traditionally relied on model-based techniques, which in turn, have their foundations in a solid body of mathematical proofs (such as guarantees of stability and robustness