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in Python and deep learning frameworks (PyTorch or TensorFlow), with experience in implementing and training complex neural network architectures. Ability to work as an independent researcher with a
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electronics and hardware/software integration. Experience with Python-based programming tools for data analysis, automation, and instrument control. Hands-on experience operating and maintaining cryogenic
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knowledge of Linux operating systems, system administration, and proficiency in scripting languages (e.g., Python, Bash, Go). Proficiency in Python, with the ability to write modular, production-ready
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of technical support staff or students. Experience using Python based programming tools. Desired skills/knowledge: Ability to prepare periodic updates (written and oral) for internal and external reviews
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Python programming for scientific instrumentation. Ability and willingness to learn new scientific and technical concepts. Scientific instrumentation and Software development experience, preferably in a
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databases, assemblers, aligners). Experience with distributed computing and high-volume DNA sequencing. Demonstrated proficiency with programming languages including Python, R, C/C++, Java, in a Unix
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or systems neuroscience Experience with Superconducting Circuit simulation and design Experience with neuromorphic computing Experience with coding in C++/python for CAD tool development for ASIC design