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heavy ion beams at the accelerator facilities in Germany and China. We also initiated and lead the project to study hypernuclei by analyzing the nuclear emulsion data with machine learning techniques. We
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machine-learning-driven multi-criteria decision analysis to rank and select optimal decarbonization pathways. Collaborate with industry and academic experts to ground-truth results. Dissemination Publish in
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exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
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of traumatic extremity injuries and amputations with a specific focus on translating their findings into clinical practice to improve the care of injured Service Members and Veterans. To learn more, visit: https
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, Machine Learning , Neutrino , Neutrino physics and Astrophysics , Phenomenology , Quantum Field Theory , Theoretical Particle Physics , theory , Lattice QCD Appl Deadline: 2025/12/01 11:59PM (posted 2025
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/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We focus on data-driven models for complex and temporal data
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team member in the CBSC focused on ligand discovery, joining a team of dedicated computational researchers with diverse expertise ranging from structural bioinformatics to machine learning and AI. Your
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Posting Summary Logo Posting Number RTF00284PO25 USC Market Title Assistant Scientist Link to USC Market Title https://uscjobs.sc.edu/titles/156373 Business Title (Internal Title) Assistant
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 11 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow - ECE Y. Zhang Division Academic Affairs Department College of Engineering (Col) Work Unit
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capable of understanding, learning, and acting in complex, dynamic settings. The lab’s work lies at the intersection of computer vision, multimodal learning, and robotics, advancing next-generation embodied