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Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
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experimental systems, from cell lines to primary neurons to ex vivo brain tissue. The postdoc will be encouraged to develop a unique scientific identity within the broader project, lead publications, present
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designing and building visualization dashboards. Research experience in human-centered AI, or in the integration of AI and machine learning methods into interactive visualization and analysis systems. Strong
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machine learning for the next generation of AI models – uncertainty-aware foundation models, generative models and world models – with the support of competent and friendly colleagues in an international
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the development and application of quantitative methods for traffic-safety analysis. The research will combine empirical crash and traffic data with statistical modelling, machine learning and traffic or driving
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
desirable. Candidates with experience in time-series machine learning, advanced data analytics, and programming (Python) are especially encouraged to apply. Special Physical/Mental Requirements Special
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, the outstanding research projects, the interdisciplinary cooperation and the collegial exchange in our faculty. Our current research focuses on Software Protection, Machine Learning/AI und Security und Security and
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of sensorimotor processing. We are recruiting two postdocs: Postdoc in Computer Vision & AI for Behavior Analysis Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties and responsibilities
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generation of MOF water adsorbents with optimal indoor air humidity control performance by leveraging state-of- the-art high-throughput (HT) computational screening based on Machine-Learning Interatomic
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employment-related transactions for faculty, researchers, postdocs, staff, and students. Oversee, record, and track full-time faculty, postdocs, student workers, and research personnel files from initiating