14 network-coding-"Chung-Ang-University" Postdoctoral research jobs at Technical University of Munich
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network coding. The position is initially limited to four years and an extension is possible. The project already started at February 1st, 2022. Content of the project and areas of responsibility
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vibrant and interdisciplinary research environment at TUM Access to unique datasets and collaboration with a well-established European network Opportunities for professional development and academic career
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at Germany’s top-ranked university, including networking and conference participation in top-tier AI and medical conferences. State-of-the-art research in high-impact areas, such as cancer research and patient
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is conducted in collaboration with partners in Europe, the Argentinean National Research Council (CONICET) and the International Livestock Research Institute (ILRI), based in Kenya and their network
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(MUCCnet: atmosphere.ei.tum.de ) Optimization of an urban sensor network configuration for greenhouse gas and air pollutant measurements using mathematical and physical assessments Analysis of ground-based
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partners in Europe, the Argentinean National Research Council (CONICET) and the International Livestock Research Institute (ILRI), based in Kenya and their network of research partners. Your tasks will be
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network of life science groups. We offer a multifaceted scientific project with excellent technical facilities, as well as strong scientific collaborations. Salary is paid according to German TV-L (E13
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models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio
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nanostructures and networks. These systems will have tunable chemical and photophysical properties for the translational development of platform technologies in the advanced materials sciences. This is a highly
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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning