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this method to study quantum fluctuations of matter and the generation of quantum light, in both equilibrium and light-driven systems. These experiments will be performed and interpreted in a friendly and
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to address computational challenges in different scientific domains. The successful candidate is expected to design, develop, and integrate novel computational techniques, including software and numerical
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funded research programs. Development of standard operating procedures and ordering of supplies as needed. Other duties as assigned. POSITION REQUIREMENTS: Required Knowledge, Skills, and Abilities: PhD in
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methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based methods. As part of a
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compliance with all applicable orders and rules. The role manages a team of six employees, providing leadership, scheduling, and both formal and informal performance reviews. Responsibilities include guiding
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with issue resolution. Knowledge of information processing software, such as Microsoft Office, including Word, Excel, and PowerPoint. Able to influence and establish positive working relationships
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, or Master's and 6+ years, or Ph.D. with 2+ years post-PhD. Strong record of AI/ML research accomplishment, supported by strong publication record. Recognized internally and externally as an active contributor
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environments. Proficiency in collaborative software development practices, including version control (e.g., Git) and data analysis tools in Python. Environmental, Health & Safety Requirements: This position is
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, or Master's and 6+ years, or Ph.D. with 2+ years post-PhD. Strong record of AI/ML research accomplishment, supported by strong publication record. Recognized internally and externally as an active contributor
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multimeters, gauges, and diagnostic software Replace faulty components (e.g., contractors, capacitors, sensors) Monitor System Performance Check air flow, temperature splits, and system efficiency Log system