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Deep Learning (CIDL), part of the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from
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research profile, and an international network around big data in marine sciences. The candidate will have access to NIOZ’s high-performance computing cluster, GPU nodes for deep learning, dedicated data
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: Roadmapping optical technology developments and the introduction of new capabilities for space missions, from low to high technology readiness levels; Introducing deep-space optical communication into space
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perception systems, using deep learning and simulation-to-real domain adaptation techniques. You will work with a multidisciplinary team, contributing to fundamental and applied research. Your role will
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, we appreciate prior experience in implementing deep learning models for graphs and networks. Additional Information Benefits As a PhD candidate at UT, you will be appointed to a full-time position for
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equator to pole, from the continental shelf to the deep ocean and from the past to the present. The ocean is Earth’s largest reservoir of CO2 and heat; circulation, mixing, biogeochemistry and other marine
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, hardening guidelines and security best practices Deep knowledge of security engineering for communications systems based on RF and quantum key distribution Good knowledge of space system engineering
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, interdisciplinary project. At the end of the project, you will have: a deep understanding of the hydrodynamic processes that control the dispersion of buoyant macroplastic items in the coastal zone; expertise in
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developing and improving the Parcels-code.org code; working within a large, interdisciplinary project. At the end of the project, you will have: a deep understanding of the hydrodynamic processes that control
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the composition and functioning of microbial communities in environments ranging from the deep sea to large lake systems. Within this department a subgroup of organic geochemists is developing novel (analytical