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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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-route to GDS, ensuring that design specifications meet performance and energy efficiency targets. Hardware Testing: Engage in PCB design and FPGA programming to validate the system and contribute to 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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-on experience in FPGA programming in VHDL or Verilog language and development of firmware for standalone microcontrollers or SoC chips Knowledge of I/O and communication standards, e.g., SPI, I2C, USB 2/3, PCIe
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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
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of power converters. experience in hardware design and measurements. experience with DSP and/or FPGA used for power electronics applications. published in high-impact conferences and journals in the field
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electronics, development of FPGA devices, development of narrow-linewidth lasers, laser frequency stabilisation and control, image analysis, data acquisition, optical design and Gaussian beam propagation
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converters Proficiency in the programing of DSP or CPLD or FPGA Experience with wide bandgap, e.g., SiC or GaN, devices/modules for power electronic system applications Experience in EMI filters design