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aims at addressing computational challenges associated with data acquisition and information extraction from complex sensors and sensor networks. Crucially, uncertainty management and quantification
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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quantum light sources coupled to quantum memories. Quantum memories are key components of optical quantum computers and scalable quantum networks: They are responsible for the central tasks of storing and
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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Qualifications MINIMUM QUALIFICATIONS: PhD (or equivalent) in biology, bioengineering, computer science, physics, or a related field Strong scientific curiosity, motivation, and rigor Strong communication
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of Department. This postdoctoral position will position you at the core of an international network driving research into ecological change in the world’s northernmost ecosystems, allowing you to
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spectroscopy. It is expected that the researcher will co-supervise a starting PhD student on the same project. The project will require a diverse set of interdisciplinary skills in live 3D microscopy, organoids
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may be taken into consideration. A suitable candidate will have a PhD in computer science, statistics, sociology, economics, political science or a corresponding subject of relevance to computational
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oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular