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Field
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hardware design (Verilog/VHDL), FPGA-based acceleration, etc. Experience with deep learning frameworks like PyTorch, Keras, or TensorFlow, and tools such as Jupyter Notebook, is expected. A strong foundation
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a suit of fast electronics (FPGA) that will allow the following achievements: 1) To rapidly repeat single-particle experimental dynamical trajectories to gain sufficient counting statistics in order
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will be involved in crafting and applying high-accuracy algorithms for a Spiking Neural Network (SNN) processing unit, to be executed on FPGA and ASIC. As a Postdoc, your key responsibilities will be
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models is desired - Experience with detector (Geant4) and electronics simulation would be beneficial - Experience with FPGA firmware development and familiarity with trigger systems would be beneficial
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Postdoctoral Scholar to join the team. The focus of this role is to contribute to the rapidly evolving quantum computing technologies by developing the FPGA based control systems for a wide range of advanced
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. The focus of this role is to contribute to the rapidly evolving quantum computing technologies by developing the FPGA based control systems for a wide range of advanced qubit technologies, including
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., GNURadio, Matlab, LabView), and/or FPGA development (e.g., VHDL) is a plus. You are a team player and have strong communication skills. You have a high proficiency in oral and written English. You comply
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
to participate in the detector and ASIC developments for beyond the HL-LHC upgrade. There will also be opportunities to participate in the ATLAS data analysis and in teaching at the university. A PhD in particle
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associated cryogenic/RF electronics (e.g., cryo-LNAs, mixers, VNAs, spectrum analyzers), FPGA-based readout, or systems such as ROACH, RFSoC, etc.. Familiarity with EPICS, Bluesky, and beamline controls
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simulations on superconducting processors for physics, chemistry, and computer science. Firmware development & programming tools to interface with FPGA-based electronics. Quantum verification and validation