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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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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
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Internet Exchange (AMS-IX), and the Faculty of Science of the University of Amsterdam. About Research group The CWI Machine Learning research group focuses on how computer programs can learn from and
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minimum using a processor-in-the-loop setup). contributing to the roadmapping, definition and implementation of R&D studies dedicated to the use of machinelearning techniques for the development of GNC
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characteristics, or hardware or algorithmic constraints. investigate the fault tolerance properties of neuromorphic processors in radiation-prone environments, including the effects of single-event upsets (SEUs
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or computational Affinity for computer simulations A finished PhD thesis (at least submitted to the PhD committee by the time you start) Terms and conditions The appointment will be for 20 months (based on a
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of concept and related tests in the laboratory facilities and possibly the ESA Space High Performance Computer facility to assess technologies developed; providing AI expertise for the development of AI