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applications* in close collaboration with other discipline experts (software, microelectronics and applications engineers). * except for RF payloads. ** including artificial intelligence and machine learning
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WBVR. Enhancing and professionalizing project management within WBVR, including independently defining project goals and managing complex and/or large-scale projects. Monitoring IT systems and data
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ethical, legal, and institutional guidelines. Build an effective project team by working towards clearly defined project deliverables and a shared commitment to the program’s objectives. The following roles
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, software engineering, mechatronics engineering or AI engineering. A PhD and/or hands-on experience on space hardware development would be an asset. Additional requirements Strong experience in at least one
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and a scientific programmer. You will be supervised by both Rianne de Heide and Jelle Goeman. One PhD student will be appointed at the UT, and one PhD student at the LUMC. We collaborate very closely