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their research groups. Opportunities for growing your academic career will be available, such as mentoring MSc Students, conference presentations, networking, and teaching. Job requirements You should have: A PhD
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expert network. You will be able to interface with experts from other engineering disciplines for applications and potential demonstrations. You will be responsible for: prototype applications, proofs
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. You have a background in machine learning for spatial data (e.g., random forest, neural networks) or are open acquiring these skills. You have experience with handling large geospatial datasets and
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: autonomous and fault-tolerant systems (including health monitoring systems), advanced guidance, control, estimation and optimisation techniques and tools, and the technology development of GNC sensors with a
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network is appreciated.
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information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual
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your future colleagues enjoy working at WUR. We will recruit for the vacancy ourselves, so no employment agencies please. However, sharing in your network is appreciated.
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are also welcome to join the Researchers In Science for Equality network of the Faculty of Science (rise.nu). Information Enquiries can be made to Dr. Marco Cinelli (m.cinelli@luc.leidenuniv.nl ) or Dr
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are also welcome to join the Researchers In Science for Equality network of the Faculty of Science (rise.nu). Information Enquiries can be made to Dr. Marco Cinelli (m.cinelli@luc.leidenuniv.nl ) or Dr
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to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands