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Field
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propagation environments. ▪ Implementing selected resilience strategies on software defined radios (SDRs) or vector signal transceivers with up to 4 GHz instantaneous bandwidth. ▪ Using the digital twin
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surround users on increasingly capable mobile devices, on edge compute nodes, and even on network components that were traditionally not imagined as computational nodes. To harness this opportunity, a
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disciplinary depth and interdisciplinary approaches. It also offers opportunities for international network building. The members of the Academic Board of the doctoral programme belong to different disciplines
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Degree PhD Course location München In cooperation with Elite Network of Bavaria Teaching language German English Languages German and English Mode of study Less than 50% online Programme duration 8
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for the advancement of their careers. It offers access to a network of internationally renowned scholars, support for young scholars, and access to local, national, and international resources. Moreover, the programme
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faculties and a large network of institutions and facilities. The HighTechCampusLMU in Grosshadern-Martinsried is synonymous with well-connected and internationally renowned research in life sciences
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programme is integrated in and supported by a network of PhD students, postdocs, and supervisors with various scientific backgrounds. PDF Download Certificates for specific modules are awarded Yes
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Max Planck Institute for the Study of Societies • | Koln, Nordrhein Westfalen | Germany | about 11 hours ago
publishing or teaching and applying for postdoc positions Students who attend our programme investigate the crucial intersection between the economy, politics, and society and develop new approaches in
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profile is shaped in particular by five high-profile areas. About Minds, Media, Machines Minds, Media, Machines (MMM) is one of the five interdisciplinary, high-profile areas that largely define