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Field
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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
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and optimize the in-process conjugation workflow. Collaborate with the Bioconjugation group to investigate conjugation efficiency and product quality attributes. Collaborate with Analytical teams
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MRI fiber tractography and computational modeling to associate pathway activation patterns with sleep outcomes following clinically optimized DBS in PD patients. The Post-Doctoral Associate's research
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
and well-defined infrastructure for high-fidelity physics-based computer simulations, is an ideal testbed platform. Models of the MDC will be simplified into static and hybrid reduced-order models (ROMs
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Postdoctoral Associate in Optimization Modeling The School of Civil and Environmental Engineering at Cornell University seeks a postdoctoral associate. The positions can be remote (but the home
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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral
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and computer engineering, data science, informatics, biomedical engineering, or a related field. Job Description: A Postdoctoral Associate position in AI-driven drug discovery and/or computational
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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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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
of the AFERA digital engineering approach. 2. Synthesize diverse data streams, including physical process data and high-fidelity physics-based simulation outputs. 3. Analyze framework performance for future
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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