15 network-coding "NTNU Norwegian University of Science and Technology" Postdoctoral positions in Norway
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created in 2017 and it is situated at the Norwegian University of Science and Technology (NTNU) in Trondheim, and the University of Oslo. PoreLab is an interdisciplinary center with joint efforts in theory
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Partnership for Molecular Medicine . The partnership is a network of four national research centers across the Nordics and the European Molecular Biology Laboratory (EMBL) , with complementary research
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/research-groups-and-networks . The postdoc will also be associated with the interdisciplinary LEAD AI project at UiB, funded by The European Research Council. The Department of Information Science and Media
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salary during sick leave for 52 weeks, and paid parental leave**. Position as postdoctoral fellow (code 1352 in the basic collective agreement) and a gross annual salary of NOK 657 000 upon appointment
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postdoctoral program of the Nordic EMBL Partnership for Molecular Medicine . The partnership is a network of four national research centers across the Nordics and the European Molecular Biology Laboratory (EMBL
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research tasks, create new projects and expand your network together with NORCE Interdisciplinary work in and across teams Good opportunities for professional and personal development in an organization
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to integrate large and complex molecular datasets with information at individual level, with specific attention to open and reproducible research, e.g., in the development of codes and algorithms. We will focus
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networks financed by European and Norwegian research funding institutions. More information about ARENA is available at www.arena.uio.no . Project description The WAGE project is a comparative, multi-level
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initiative, motivation and independence for research and writing. International experience and networks are of strong advantage. Experience working in interdisciplinary teams. Experience with or openness
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applications. Radiation detector response measurement and characterization experience. Familiarity with radiation transport simulation codes such as GEANT4 and PHITS. Familiarity with AI-tools used for image