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vibrant research environment within the Physical Vision Group (PVG, https://physicalvision.github.io/ ). This will involve closely collaborating with faculty, postdoctoral researchers, and PhD students
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
+ML postdoc position will include, but is not limited to, multimodal+embodied semantics, human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning. The duties
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integration into multi-model and multi-beamline measurement systems. Ths position requires a deep understanding of X-ray Absoprtion Spectroscopy and prior experience with methods of machine learning
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foundation models or foundation models for structured data is particularly relevant to this position. Key qualifications include: Strong research experience in deep learning and foundation models
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research environment within the Physical Vision Group (PVG, https://physicalvision.github.io/ ). This will involve closely collaborating with faculty, postdoctoral researchers, and PhD students, bridging
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record in AI, machine learning, computer vision, digital health, biomedical engineering, medical AI, or a closely related area. Expertise in one or more areas such as deep learning, computer vision
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deep learning, computer vision, or generative AI. Demonstrated experience with one or more deep learning frameworks (e.g., PyTorch, TensorFlow). Demonstrated ability to work with large-scale Earth
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research and international partnerships in data science, computational biology and machine learning, including representation learning and geometric deep learning approaches. We will consider applications
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
(e.g., bash scripting, python, Fortran, C++ and CUDA ), expertise in computational modeling (such as Molecular Dynamics, virtual screening, free energy calculations and Deep Learning), successful
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with advantage for experience in conducting research on healthcare data. - Experience in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) particularly in Natural Language