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Field
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preprocessing large-scale single-cell and multi-omic datasets, defining model architectures, optimizing training pipelines on GPU clusters, and benchmarking against existing methods. Integrate and analyze large
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appropriate. Support translational activities that advance research discoveries toward clinical implementation. Innovation and Technology Translation Contribute to the development, validation, and optimization
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methods, and optimizes existing ones. Keeps meticulous records of procedures and research findings. Demonstrates proficiency in troubleshooting instruments and methods to improve outcomes. Delivers
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or proteins. More details can be found: https://yanjun-li.com.html . Additional duties of the role will include, but are not limited to: Leading the development and optimization of the AI and/or computational
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conferences. Level of Decision Making: The postdoc will design and optimize experiments, particularly for Next Generation Sequencing workflows, including library preparation and data analysis. They will
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optimization schemes. From developing AI models to uncover structure-function relationships with limited data sets, to building automated electrode-electrolyte interface discovery workflows and implementing full
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. Experience creating energy modeling programs and/or energy management systems. Expertise in optimization and techno-economic analyses applied specifically to energy systems. Excellent written and oral
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transfer (CHT) or fluidic manifold optimization Experience with machine learning/AI (PyTorch or TensorFlow), reduced-order modeling (ROM), or data assimilation (DA) Experience with GPU programming (CUDA and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISIONOur vision is to be
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LiDAR, IMU, camera, and wheel-odometry data in GPS-denied, low-light environments. Implement LiDAR-based or LiDAR-inertial SLAM, factor-graph or pose-graph optimization, loop-closure validation, drift