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Field
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in automated extraction, analysis and standardization of multimodal biological, biochemical and medical experimental data Experience with parameter optimization and ODE-based modeling Strong
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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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. This position offers an exciting opportunity to work at the intersection of HPC and AI, addressing critical communication bottlenecks and optimizing network interconnects for large-scale distributed systems
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. Position Summary
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in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize
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the Institute for Sustainable Energy and the Environment. This position will oversee composite manufacturing trials, optimize process parameters, and apply advanced materials characterization techniques to assess
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varying carbon content and execution of solid-phase hot extrusion trials. Responsibilities include optimizing process parameters to improve composite quality and performance. The role also involves
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inverter-based resources; develop innovative optimization platforms to address the challenges and resolutions of operating a future grid; and have a passion to explore the future modern power grids in terms
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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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-state batteries. Perform materials synthesis, characterization, and device fabrication process Interpret test data to enhance device performance Optimize device design based on test results and