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months or 0.8 FTE for 45 months; access to computational resources (HPC), GIS/data infrastructure, and datasets via collaborative networks; a supportive, interdisciplinary research environment within
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the perfect person to strengthen our team at the Laboratory of Geo-information Science and Remote Sensing as an Assistant Professor in Geo-information Science. The Laboratory of Geo-information Science and
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August 2025 Apply now Machine Learning models are increasingly important in the atmospheric sciences. After training, they can emulate model outcomes at a fraction of the computational cost of traditional
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training programme on Regenerative Agriculture. The requirements to applicants is: You have: Background in soil sciences and agricultural sciences or related field; Experience in process-based modeling
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comprising programme directorates and support directorates, and under delegation from the Director General, you will be responsible for the definition, planning and execution of the Agency’s Navigation
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from the isolated scheduling of proprietary assets to the collaborative scheduling of shared resources in open, connected logistics networks. This position is part of TNO’s Early Research Program on
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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valorization components, business planning, and exploitation strategies. Actively grow and manage a broad external network, including venture builders, TTOs, corporates, and funding agencies. Job requirements We
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles