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quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not mandatory. Excellent written and
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data (PET, CT, Magnetic Resonance Imaging with Late Gadolinium Enhancement – MRI-LGE) and clinical variables. The approach encompasses unsupervised multimodal registration, three-dimensional deep
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involves deep collaboration with research computing, security, network, infrastructure, and operations teams while continuously evaluating cloud, on‑premises, and hybrid environments. The architect plays a
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conducting fieldwork and keeping track of grant funding allocated to students or other RPDE staff. Assisting with financial management and planning, such as doing a deep-dive into the expenses or assessing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social
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PhD thesis Edge Intelligence for 6G Networks. The PhD project will deep dive into Edge Intelligence for next-generation (6G) communication systems. The project focuses on integrating Artificial
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governance for climate action. 4. Guide and monitor the evolution and implementation of national platforms, extract lessons learned, and develop products to share with other cities and contexts. 5. Expand
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. This position offers an exciting opportunity to work in a dynamic, innovative research environment. Labor Contract: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/px/index.html Lab: https
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[map ] Subject Areas: Mathematics, AI-based drug design and discovery, Bioinformatics/Protein Engineering/Single-cell Omics Data, Mathematical AI/Machine Learning/Deep Learning, and Computational
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to diverse academic and industrial audiences. Proficiency in Python and deep learning frameworks such as PyTorch. Experience with Linux environments and GPU cluster management is essential. Competent in