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Physical Layer Security and Hardware Demonstrator Development Physical-layer security is becoming increasingly important for protecting next-generation wireless networks against eavesdropping, spoofing
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assisted ISAC framework available at the TUM ACES Lab. ▪ Conducting real world experiments to analyze performance deviations between theoretical models, software simulations, and hardware behavior. ▪ Working
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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environment will be developed using hardware-in-the-loop components, enabling realistic scale-up to a full computing center and systematic evaluation of advanced operating strategies. Specifically, the PhD
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optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical devices Develop hardware
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. The focus of this PhD position is the development, characterization and experimental evaluation of advanced sensing hardware. Signal processing and Artificial Intelligence are applied as enabling technologies
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
(Germany), which offers a world-leading research environment with access to the latest cutting-edge MRI hardware (incl. a Siemens 9.4T and Prisma 3T for humans as well as a 14.2T small animal system) and
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
, preferentially in chemical, bio or process engineering, physics, chemistry or related disciplines with grades above average, have strong interest in hardware development, have strong communication skills and
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spectroscopy technologies (i.e. optical hardware). • Molecular biology / protein biochemistry expertise. • Experience in analyzing protein structural data (not necessarily acquiring the data). • Having already
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biochemists developing the labeling agents, data analysts developing analysis algorithms and physicists developing hardware. The candidate The candidate should have a firm base in in vivo imaging and cell