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Field
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, classification, and interpolation of pixel detector data. Exploration of spike-based data encoding/decoding strategies. Hyperparameter optimization using advanced computing resources (e.g., HPC clusters). Detector
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other collaborators for the development and optimization of experimental process; 2) analyze collected data with Argonne’s EverBatt model to estimate associated cost and environmental impacts; 3) write
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. The postdoctoral research fellow will be responsible for assisting externally-funded research programs at UD related to the thermomechanical design, manufacturing, and experimental optimization of high-temperature
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in Robotics, Computer Science, Aerospace Engineering, or related field Demonstrated expertise in SLAM, preferably aerial SLAM projects Strong programming skills in C++ and Python with ROS/ROS2
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Carlo simulation, and coding. Postdoctoral Associate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize treatment plans, enhance
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a computational materials design team screening and developing biobased monomers, synthesizing samples, optimizing formulations, and characterizing properties. Candidates will collaborate with a large
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screening. • Data analysis using X-ray crystallography, neutron crystallography, and X-ray spectroscopy approaches. • Applying computational skills to support and collaborate on AI and classical machine
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory seeks a highly motivated postdoctoral researcher to join a multidisciplinary team advancing quantum information
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culture of resilient optimism, resourceful thinking and pragmatic dreaming that enables us to reach others every day. Visit our website to learn more about the University at Buffalo . As an Equal
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the emphasis of the position will be on the development of nanomaterials for AM and understanding of AM process optimization, functional materials design and compositional grading, electrochemical and