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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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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