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Field
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Responsibilities: · Design and conduct independent research projects in placental biology or in utero gene editing. · Develop and optimize CRISPR-Cas9 base editing strategies, including plasmid and
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partners and optimize them for nonlinear quantum processes Collaborate with theory colleagues to refine fiber designs based on experimental feedback Disseminate results at international conferences and in
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methods (e.g., fluorescence, reflectance, or label-free modalities). Collaborate on development and optimization of imaging instrumentation and workflows. Perform tissue preparation, imaging, and data
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challenge, making energy-efficient computing a critical research priority. This project addresses this challenge through a novel co-design approach that simultaneously optimizes both hardware and software
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 days ago
tools for spacecraft applications, specifically leveraging topology optimization and lattice structures. Building upon prior work at JPL, including the open-source lattice design tool UnitcellHub and an
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, Synopsys/Ansys, Siemens). Willingness to work on cross-stack optimizations and learn new skills. Preferred Qualifications Experience with multi-physics simulations for thermal, mechanical, and reliability
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development experience GTSAM or similar factor graph optimization frameworks Field robotics deployment in challenging environments Multi-sensor calibration and fusion Commitment to open-source development and
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bottlenecks and optimization strategies. The digital twin will serve as a testbed for evaluating engineering trade-offs and guiding future hardware development. The appointed researcher will collaborate with
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by email, postal mail, or fax will not be considered. All supporting materials must be uploaded as PDF files so the document can be searched by Zintellect's search engine. Scanned items are not optimal
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Position Summary This position will primarily support the implementation of a newly funded National Institute of Mental Health R01 grant focused on optimizing a digital chatbot intervention for