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Field
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closely connected with quantum technologies and physical platforms. Relevant areas include but are not limited to: quantum information and computation; quantum algorithms and complexity; quantum error
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community and the general public in the Denver metropolitan area. The current strengths of the faculty are in the areas of algorithms, artificial intelligence, computer networks, graphics, parallel and
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Science Initiative has supported the rapid growth of the departments of Statistics & Data Science and Computer Science, as well as many interdisciplinary activities in which the postdocs could participate
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+ years of experience in an administrative or program support role, especially in higher education. Flexibility to occasionally work outside regular business hours to support events. Must have a basic
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, methods, and emerging data science tools to advance their research through hands-on training and expert guidance. Based in the Division of Social Sciences and in partnership with the Division of Computing
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software development, modern software languages, cloud technologies, databases, and algorithms. Experience with data analytics, artificial intelligence, and machine learning is a plus. The individual must be
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University We are looking for a highly motivated postdoctoral researcher with a strong interest in optimization. The position will involve the development of novel reformulation and algorithmic methods
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optimization and consensus algorithms. Knowledge of large models and hyper-parameter optimization. Knowledge of high-performance computing and its applications. An excellent record of productive and creative
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computational biologist to collaborate with a multidisciplinary team to develop innovative computational algorithms and approaches to address crucial questions in cancer biology. The role will involve
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Linux/Unix, and running algorithms on CPUs and GPUs Deep learning frameworks, particularly Python and PyTorch Medical image segmentation and computer vision model development Large language models and