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. This enables cellular networks with ultra-high data density and very low latencies, as well as increased security due to limited propagation. The technology is expected to complement WiFi and 5G-based networks
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interdisciplinary Programme Areas (PAs) which work collaboratively towards achieving ZMT’s mission. This position will be located in and contributing to PA2 - Global Change Impacts and Adaptation, which addresses
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: Successfully completed scientific university degree, preferably in computer science, electrical engineering, or a comparable field of study Very good programming skills in Python (e.g., TensorFlow, PyTorch) In
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As one of the world's largest solar energy research institutes, the Fraunhofer Institute for Solar Energy Systems ISE makes a significant contribution to a sustainable, economical, secure, and
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The Sulzbach-Rosenberg branch of the Fraunhofer Institute for Environmental, Safety and Energy Technology Fraunhofer UMSICHT (www.umsicht-suro.fraunhofer.de ) develops process engineering solutions
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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. Additionally, they will work closely with IT service units to ensure that curated datasets are accessible and meet scientific standards for security, compliance, and usability. The successful candidate will
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• numerical simulations and computer programming (e.g., Python and LabVIEW) • Developing back-of-the-envelope estimates for complex physical problems. Applications should be sent by e-mail, together
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available in the further tabs (e.g. “Application requirements”). Objective TheMuseumsLab is a programme for joint learning, perspective exchange, networking and career building among African and European
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 11 days ago
science and biostatistics. Key tasks Perform and support transcriptomics and proteomics data analysis for diverse research projects. Develop and maintain reproducible computational pipelines and data