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Field
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, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and supported by the COMMLab, the 6GSPACE Lab, the HybridNetLab, the QCILab
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications
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Implementing and optimizing advanced experimental techniques Integrating data across molecular, genomic, and imaging platforms In addition, the candidate will: Contribute to supervision and mentoring of students
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months 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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data and simulating constraints, the tool will provide a comprehensive board of options to optimize the choice architecture for survivors, fostering their agency and informed decision making. Fixed
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. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects
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with the supervisor, with potential avenues including generative models, optimization tasks, or other specific applications. The candidate will work in the context of the project ML-QSIM, a 4-year, 2M
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energy-related materials. The successful candidate must hold a PhD in Chemistry, Materials Science, Chemical Engineering, Physics, or a closely related discipline, within less than 5 years post receiving
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-predictive control and optimization strategies, run high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal
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-predictive control and optimization strategies, run high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal