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, training, product/platform ownership, or digital transformation roles. Incumbent must have the ability to blend front-facing, executive level consulting skills with deep technical knowledge to identify
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Science, physics, mathematics, engineering or a related discipline Strong Python skills Experience with modern deep-learning architectures The ability to properly report, organize and publish research data
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within SCI and across other departments within Pitt, and initiatives like the $11.6M Western Pennsylvania Quantum Information Core (https://www.pitt.edu/pittwire/features-articles/pitt-investment-pa
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solutions that enhance ecological monitoring, improve resilience planning, and promote sustainable resource management. Development of a Detection Transformer through Attentive Deep Learning and Explainable
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artificial intelligence (i.e. machine, deep and reinforcement learning…) to optimize efficiency, improve safety, reduce costs and promote sustainability. Collaborate with multidisciplinary teams to uncover a
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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Charlottesville, UVA offers a rich academic environment, outstanding benefits, and access to a vibrant community with excellent quality of life. Learn more at https://www.virginia.edu and https://embarkcva.com
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campus. To learn more, go to Baylor Benefits & Advantages. Explore & Engage Learn more about Baylor and our strategic vision, Baylor in Deeds . Also, explore our great hometown of Waco and the many
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distinctive strategically aligned course and unit content, and assessment support. Increasingly provide academic leadership, particularly in fostering outstanding research and/or learning and teaching. Build
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engineering? Then this professor position might be for you. We are looking for a new professor to lead research in probabilistic machine learning, with a focus on areas such as deep generative models, Bayesian