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systems for wireless communication using light and are looking for support in the implementation on FPGAs. Optical wireless communication uses light for the wireless transmission of information
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Future. Discover. Together. We develop innovative systems for wireless communication using light and are looking for support in implementing them on FPGAs. Optical wireless communication uses light
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change You will work on the design, simulation, and testing of digital control concepts (e.g., using MATLAB/Simulink or Python) You will implement these on FPGA boards and evaluate them in terms
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
cameras, FPGA-based frame grabbers, SDI-based interface cameras, Arduino controllers, motorized stereo rigs, etc.). We are looking for someone with hands-on experience who is enthusiastic about computer
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analysis systems using GPU- and FPGA-supported HPC clusters at large international research facilities such as Effelsberg, SKA, and MeerKAT. The systems developed by the BDG are based on state-of-the-art
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develop innovative laser medical technology processes and systems in an interdisciplinary team. Your tasks will range from the design and implementation of FPGA-based real-time control systems
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architectures. Knowledge of embedded systems. Knowledge of developing systems with systems-on-a-chip (SoC) and FPGAs. Knowledge of scheduling is desirable. Motivation to pursue a doctoral degree and contribute
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). Knowledge of computer architectures. Knowledge of embedded systems. Knowledge of developing systems with systems-on-a-chip (SoC) and FPGAs. Knowledge of scheduling is desirable. Motivation to pursue a
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science discipline (e.g., technical computer science). Technical foundation: You have hands-on experience with electronic system design and setups; experience with microcontrollers or FPGAs is an advantage
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the development of scalable software tools and pipelines, potentially leveraging GPU/FPGA accelerators. Our aim is to build next-generation molecular atlases for chronic diseases and to improve patient