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, energy consumption, and accuracy.; ; Training deep learning models, especially in LLMs, faces critical challenges that compromise the optimal use of GPUs. These bottlenecks result in poor computational
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, practitioners, and/or scholars with a national reputation who demonstrate a deep commitment to undergraduate teaching and advising. To apply, please visit https://www.princeton.edu/acad-positions/position/39781
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the research activities of Pratt Institute under one roof in the Brooklyn Navy Yard (BNY). Since our founding in 1887, Pratt has upheld the belief that education should be accessible to all who wish to learn. As
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, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar). Experience with data
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
is $119,000 - $178,600 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits
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-year position dedicated to the project “Foundations for Adaptive and Generalizable Deep Learning” (EXPLORA), funded by Ministerio de Ciencia, Innovación y Universidades/AEI, focused on ‘Continual
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within the framework of project FLUIDNET: A Novel Deep Learning Architecture for Solving Viscoelastic Fluid Flows with reference 2024.13980.PEX, f, funded by national funds through FCT/MCTES, under
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accordance with the prescribed manner, including, but not limited to, ranges, steamers, meat slicers, and deep fat fryers. Observes the rules of the Division of Dining Services pertinent to food handling and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical
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a laboratory location. The person may also have an opportunity to participate in deep immunophenotyping and cell sorting for genomic investigations. Fred Hutch and University of Washington faculty