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/07) Position Description: Apply Position Description Postdoctoral Scholar in Fast Sensors Group Position overview Position title: Postdoctoral Scholar in Fast Sensors Group Salary range: Commensurate
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at the intersection of bioprocess engineering, analytical chemistry, and sensor development, with a strong focus on managing a project that advances AI and machine learning applications for process optimization and for
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-Energy Physics and Quantum Computing to join the team. In this exciting role, you will research in quantum computing, with a focus on the development of theoretical approaches and novel quantum algorithms
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, implementation, and testing of a wide range of numerical and machine learning (ML) computer algorithms as applied to reservoir engineering and geophysical imaging. This includes the simulation of thermal-hydro
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on classical supercomputers. Design and optimize classical simulation algorithms for quantum circuits. Explore approximate classical simulation algorithms (e.g., tensor networks, circuit cutting) to improve
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hormonal status in women. Help with studies at UCLA involving attaching sensors (e.g., ECG electrodes, respiration belts) to the body. After training, operate other advanced physiology recording systems
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, they will work on algorithm development, optimization, programming, and computer science research. Hourly Salary Range: $37.60 - $78.35
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oral communication with a record of leading and reporting results. Desired Qualifications: Knowledge of quantum computing algorithms. Familiarity with tensor network methods. Experience programming GPUs
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, to enable scalable quantum algorithm development and quantum-HPC codesign. What is Required: PhD in Computer Science, Computational Science, Applied Mathematics, or a related field awarded within the last
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limited to thermal cameras, audio recorders, air and other environmental samplers, and environmental sensors. In addition, this position will represent NSF-CPI in interactions with various partners and