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technology, ethics and machine learning, in new and unique ways. The focus of Integreat is to develop ground-breaking methods and theories, and therefore solving fundamental problems in science, technology
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About the Opportunity Job Summary The department of Electrical and Computer Engineering and Institute for Intelligent Networked Systems (INSI) is seeking a Postdoctoral Research Fellow to work
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the administration and coordination of the ON-TRACT network, including helping to organise meetings, contribute to reporting activities, facilitate communication between partners, and support the successful delivery
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their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing
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-cloud computation offloading algorithms. Set up network testbeds integrating hardware, software, and communication protocols to validate edge-only, cloud-only, and edge-cloud computation offloading
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computational mathematics, among mathematics departments in Tromsø, Bergen, and across Norway, and between high-level research and education within the ERCOM network of European mathematical research centres
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cholangiocarcinoma and is based on key scientific discoveries described in: Mailly et al. Nature Biotech 2015, Hamdane et al. Gastroenterology 2019, Juehling et al. Gut 2021, Crouchet et al. Nat. Commun. 2021, Roehlen
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hydrogels or elastic networks), and evaluate their mechanical and biological properties. This position offers a unique environment bridging synthetic biology, polymer chemistry, and biophysics. Key
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-friendly policies, training and development, and staff networks. We value the enrichment that comes from a diverse community and seek to promote equality, prevent discrimination and protect the human rights
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, and truly multidisciplinary research community. We value interdisciplinarity, as it allows you to expand your research network and exposes you to new perspectives and ideas to solve complex research