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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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research in the field of advanced onboard data processing architectures for space systems. In particular, one of the two following topics might be considered as the objective of this Research Fellowship: (a
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. Knowledge and experience of physical testing would be an advantage. The sucessful candidate is resposnible to provide insights into this complex soil-structure interaction problem through numerical modelling
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Faculty of Science Researchers and students at VU Amsterdam’s Faculty of Science tackle fundamental and complex scientific problems to help pave the way for a sustainable and healthy future. From forest fires to big data, from obesity to malnutrition, and from molecules to the moon: we cover the...
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. Your work may involve formulating new models, analysing structural properties, and developing innovative algorithms with both theoretical rigor and practical relevance.
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the natural product structural classes have not yet been fully characterized. Similarly, most metabolites observed in mass-spectrometric data cannot be fully dereplicated. The key question we seek to answer in
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the natural product structural classes have not yet been fully characterized. Similarly, most metabolites observed in mass-spectrometric data cannot be fully dereplicated. The key question we seek to answer in
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In this role, you will help develop and implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical
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can focus on learning for planning, risk-aware motion planning under uncertainty, learning of interaction models, multi-robot learning, multi-modal prediction models, or other related topics
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are seeking for an excellent candidate having knowledge on aerospace composite materials and structures with an interest in advanced experimental approaches for thermomechanical manufacturing processes while