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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- European Space Agency
- Amsterdam UMC
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); today published
- University of Amsterdam (UvA); yesterday published
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Field
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estimation, and tests for interactions; Designing methods to overcome numerical challenges. What do you have to offer You have a PhD in a topic that involved Bayes factor hypothesis testing. You can
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-statisticians challenge and workshop; Studying model-averaging, effect size estimation, and tests for interactions; Designing methods to overcome numerical challenges. What do you have to offer You have a PhD in
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information science. Good knowledge of mathematical and theoretical physics methods of describing random processes and random fields. Experience with analytical and/or numerical methods for modelling qubit dynamics
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and random fields. Experience with analytical and/or numerical methods for modelling qubit dynamics. Ability to work independently and collaboratively in a research team. TU Delft Delft University
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tracers. Specifically, you will use clinical molecular imaging data in combination with numerous methods (i.e., AI image analyses, PBPK modeling, immunohistochemistry, FACS). As a postdoctoral researcher
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Postdoctoral Researcher in Gravitational Wave Astroparticle Physics (GRAPPA, University of Amsterdam
, talks). It is a preference if you additionally have experience with GW source/environment modelling, post-Newtonian/perturbative methods, cosmological simulations, or GW data analysis. This is what we
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing screening methods to enable subsurface H2 storage? If you enjoy working
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Are you interested in developing screening methods to enable subsurface H2 storage? If you enjoy working at the interface between geoscience and engineering then this project may be right for you
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sensors in composites. Strong mathematical background and experience with numerical methods for structural analysis. Proficiency in programming (e.g., MATLAB, Python). You have obtained your PhD degree in
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having and affinity to supporting numerical methods. In particular, we look for a candidate with A PhD in an appropriate discipline, including Aerospace, Mechanical, Civil or Electrical , Materials Science