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- European Space Agency
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); today published
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); today published
- Wageningen University & Research
- Wageningen University & Research; Wageningen
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Field
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research project in collaboration with multiple tech companies to develop and demonstrate the next generation of free-space optical (FSO) communication systems for satellite communications. Information
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that enables novel techniques, such as SCORE (Scan On Receive) and MAPS (Multiple Azimuth Phases), combined with a ScanSAR mode. Another advantage of systems with multiple channels in azimuth is the inherent
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. The telescope will observe each planet during multiple transits of and/or eclipses by its host star: during a transit, a fraction of the starlight is blocked by the planet and an even smaller fraction is filtered
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collaboration with multiple tech companies to develop and demonstrate the next generation of free-space optical (FSO) communication systems for satellite communications. Information Satellite-based links
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genomic and biochemical diversity and thereby contribute to sustainable food and agriculture. As a group, we contribute to multiple BSc and MSc programmes. We educate new generations of biologists
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the development and service contracts for the required software components, including the definition and maintenance of the required processing algorithms, during initial development and later evolutions
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stability of swarm behaviour, and validate novel control strategies that quickly adapt to rapid changes in supply/demand. New effective market, contracting, and algorithmic mechanisms are needed to be derived
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, prove the convergence and stability of swarm behaviour, and validate novel control strategies that quickly adapt to rapid changes in supply/demand. New effective market, contracting, and algorithmic
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genomic and biochemical diversity and thereby contribute to sustainable food and agriculture. As a group, we contribute to multiple BSc and MSc programmes. We educate new generations of biologists
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from multispectral datasets You will contribute to the ongoing development of Machine Learning algorithms for recognition of planetary materials from multispectral datasets. This project combines deep