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Field
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, simulate, and optimize integrated photonic circuits using micro-nano-structured materials for optical processing, routing, switching, and modulation functionalities. Develop and experimentally validate
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. The Department of Population Health Sciences in Duke University School of Medicine invites applications for a Postdoctoral Research Associate to join a rigorous, data-intensive research team
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superconducting quantum circuits, particularly transmon qubits. The postdoctoral researcher will learn, operate, improve, and help develop custom experimental techniques optimized for small-volume and thin-film
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, and optimization techniques, to enhance robotic autonomy and mission performance. Develop and validate digital twin environments for simulation, testing, and evaluation of autonomous robotic systems and
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cardiovascular monitoring and health assessment. 2, Develop multi-physics simulation frameworks for the design and optimization of ultrasonic transducer arrays and acoustic beamforming. Apply advanced optimization
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methods such as S-TEM, TGA/DSC. • Familiarity with process simulation software, mass-balance calculations, kinetic modeling, statistical analysis, or data-driven process optimization. • Demonstrated record
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Requisition Id 16802 Overview: We are seeking a Postdoctoral Research Associate for the development and application of advanced multiphysics simulations, and machine learning (ML) methods relevant
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a postdoctoral researcher in the same or related subject area at MDU that exceeds one year. Applicants must be able to demonstrate knowledge and experience in: Simulation software for building and
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postdoctoral researcher to contribute to an NIH-funded project focused on developing innovative techniques and hardware for ultrahigh-field magnetic resonance imaging, with an emphasis on ultrahigh-resolution
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are reaching the end of their automotive service life while retaining significant residual capacity suitable for second-life applications. To address the above challenges, the Postdoctoral Researcher will