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technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a
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or a related engineering field. Industry experience in the domain of engineering is a strong plus; Experience with bio-microfluidics engineering (Computer-Aided Design and micromilling), biosensing and
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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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differentiation of generic and complex computer programs (including control flows, data structures, and possibly memory) allows for the exploitation of any-order differentials to obtain transformative effects
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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