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Understanding of the hardware/chip development flow Knowledge of electronics, or digital design (VHDL/Verilog) or analogue/RF design Appointment Type: Full-time, fixed term for a period of 2 years. We welcome
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, PSIM, Proteus, LabVIEW, SketchUp, SolidWorks, etc. Knowledge of microcontrollers, STM32, FPGAs, etc. Knowledge of communication protocols such as I2C, SPI, Profibus, Modbus, CAN, MQTT, and HTTP
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particular focus will be the development and benchmarking of AI- or ML-based clustering algorithms, as well as their integration for heterogeneous architectures, such as GPUs and FPGAs. If interested to do so
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FPGA, as well as a GPU accelerated compute nodes. The postdoc project Hematological malignancies remain a significant cause of morbidity and mortality worldwide. A major pathological feature of
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(passive and active devices) design and fabrication. Experience with on-chip laser development. Experience with ophthalmic OCT imaging in human and animal models. Experience with FPGA, embedded systems, and
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background in microfabrication. Further, experience with experimental setups, large-scale data acquisition and analysis, FPGA programming skills, and knowledge of Python and C++ are important assets
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clustering algorithms, as well as their integration for heterogeneous architectures, such as GPUs and FPGAs. If interested to do so, the successful candidates may also participate in physics analyses with a
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of FPGA programming for MRI hardware development • Experience developing and testing RF coils for MRI • Ability to present research effectively through both writing and speaking Pay and Benefits Pay Range
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the most recent computational technology, including the Dragen FPGA, as well as a GPU accelerated compute nodes. The postdoc project Hematological malignancies remain a significant cause of morbidity and
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strong experimental background in dual comb laser spectroscopy, frequency-locked lasers, or optoelectronics and the following skillsets: Hands-on experience with data acquisition and processing (FPGA