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supporting end-users of applied ML methods including interpretability/explainability (XAI), and reliability. The position provides access to world-class computing resources, such as the BNL Institutional
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optimization. Basic knowledge of integrated circuit design, including digital simulation and logic synthesis. methods, and other related topics pertaining to fast AI model inference. Experience working in
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science with novel method development, and provides unique access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership computing facilities, as well as collaboration
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fundamentals and applications of phased arrays and beamforming algorithms Knowledge of modern digital modulation methods (QPSK, QAM, OFDM, etc.) and their applications in wireless communications Ability
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combines data science with novel method development, and provides unique access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership computing facilities, as
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related work experience including supporting scientific research programs following established methods and standards for investigation and experimentation. Understanding of ANSI and IEC standards related