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Field
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discipline. At least 3 first author papers in disciplines related to neuroprosthetics. Published first author work in using machine learning algorithms for real time neural signal processing. Proficient in a
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/OOP, Software Engineering, Computer Net-works, Computer Architecture and Organization, C/C++, Algorithms, Data Structures, Cybersecurity, Embedded Systems, Databases, Machine Learning, Artificial
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, exoplanets, and infrared astrophysics. It is slated for launch in late 2026. The Roman Science Support Center (SSC) at IPAC is a part of the Roman Ground Data System, providing algorithm and software
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, management information systems or Computer Science. Six years of work experience in foundational computer science areas: algorithms; computer architecture; programming methodologies and languages; data
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learning algorithms, seismic hazard assessment in urban areas, and novel tools for measuring changes in time with ambient seismic noise. Minimum Education and Experience Ph.D in a related field. Preferred
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ISAC demonstrators. Implement and optimize advanced signal processing algorithms for joint communication and sensing. Analyze experimental datasets, extract statistical models, and compare findings
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and digital signaling methods, data link protocols, error detection and correction, medium access control in broadcast networks, routing algorithms, internetworking, the Internet Protocol, connection
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resettlement. The position is part of an innovative project using machine learning and matching algorithms to improve the resettlement process for refugees and asylum seekers. We are developing GeoMatch , a
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Circuits, Robust and Efficient Mapping of Quantum Algorithms on Quantum Machines, Quantum Noise-Aware Optimizations for QML, QML Security, Error Correction for Quantum Computing, Secure Quantum-Classical
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. Responsibilities include: Algorithm development and/or software design Develop C/C++ or equivalent code to interface with developed hardware and associated interfaces (SPI, I2C, etc) Integration of Software Defined