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Field
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Along Track Interferometry (ATI) capability, which can be used for accurate velocity estimation of ocean surface currents and vessels. A challenge when operating a SAR in a ScanSAR mode is that each
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learning Deep learning model generalisation techniques Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object
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on the willingness to fight. This postdoc position is part of the project “What are Citizens Prepared to Fight for? The Netherlands in Comparative Perspective”. The overall objective of the project is to gain a deeper
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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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, and humanitarian fundraising. The objective is to model key trade-offs and develop practical, data-driven strategies that support real-time decision-making. Faculty to contact: Dr. Yeqing Zhou. Approach
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modelling approach, and dynamic Bayesian Networks would be advantageous. Willingness to conduct research in a multi-national project team. Funding requirements: You cannot have resided in The Netherlands in
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teams within the Division and to relate team objectives to the overall, evolving organisational goals and context; the ability to drive performance and foster cooperation within and across teams
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system design consolidation study as a mission of opportunity within the FutureEO-1 programme. The objective of MAGIC is to provide long-term, accurate monitoring of the temporal variations of Earth’s
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with process safety and security concepts, accident modelling approach, and dynamic Bayesian Networks would be advantageous. Willingness to conduct research in a multi-national project team. Funding