87 phd-mathematical-modelling-ecological-modelling Postdoctoral positions in Netherlands
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- University of Groningen
- European Space Agency
- University of Twente
- Utrecht University
- Delft University of Technology (TU Delft)
- Wageningen University and Research Center
- University of Twente (UT)
- CWI
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
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- Radboud University Medical Center (Radboudumc)
- University of Twente (UT); Enschede
- Wageningen University & Research
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e); Eindhoven
- KNAW
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- NIOZ Royal Netherlands Institute for Sea Research
- Nature Careers
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Amsterdam (VU); Amsterdam
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environment. THE CANDIDATE You hold a PhD degree in marine ecology, molecular / microbial ecology or related disciplines (awarded prior to the start date of the project). You have experience in organizing and
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are looking for candidates with: A PhD in Operations Research, Applied Mathematics, Mathematics, Engineering, or a related field. A background in logistics (preferred). Strong writing and presentation skills in
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-biodiver… Requirements Specific Requirements You are passionate about both fundamental and applied research. You hold a recent PhD degree in biology, ecology, environmental science or another field related
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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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research engineer with a passion for innovation and strong inter-disciplinary skills; PhD degree in Instrument or Analytical Engineering, Mechanical Engineering, Biomedical Engineering, Systems Engineering
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vegetation and biodiversity. Does this sound like you? You are passionate about both fundamental and applied research. You hold a recent PhD degree in biology, ecology, environmental science or another field
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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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-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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particular for this position, the following is required: PhD in engineering or physics, preferably with a focus on the development of thermal fluid-structure interaction mathematical models. A thesis topic
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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