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Python and GEE for geospatial analysis and data science. Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data. A track record of first
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research institutes participating to consortium with a unique combination of expertise in solid-state NMR and materials science (UCCS), in MRI of the brain and AI-enhanced image processing (LilNCog), in NMR
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Informatics (IHI), University of Minnesota, Twin Cities. Dr. Bayat’s team develops highly scalable and computationally accelerated medical imaging and analysis methods to assist in enhanced diagnosis and
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, assembled to address challenges facing scalable quantum computing and provide breakthroughs to strengthen U.S. leadership in QIST. The C2QA scientific mission is to deliver advances in materials science and
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Are you interested in real-time distributed systems, IoT connectivity, and AI-driven automation? The Department of Electrical and Computer Engineering at Aarhus University invites applications for a
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- A scarcity-driven engineering paradigm” is a newly funded Cluster of Excellence and will be established at the University of Bremen from January 1, 2026. In the Cluster, we are looking for one
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the position is filled. Qualifications: Ph.D. in meteorology, atmospheric science, or a closely related field Demonstrated experience in understanding processes that control clouds, precipitation and convection
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, humanities, social sciences, and physical sciences to address real-world challenges. Faculty and students conceptualize, prototype and evaluate products and processes that enhance human potential, well-being
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Posting Details (Default Section) Posting Number: 20251282F Position Title