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We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training costs and energy requirements of state-of-the-art deep learning models significantly, while...
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RAP opportunity at National Institute of Standards and Technology NIST Algorithms for Compound Identification by Mass Spectrometry Location Material Measurement Laboratory, Biomolecular
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of Engineering Position Headcount 1 Position Title Student Faculty Assistant - CPSC 350 Data Structures and Algorithms Academic Year Spring 2026 Term or Semester Spring Is this Role for an Undergrad or Grad
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of the elderly to space robotics. We are now looking for a Doctoral Researcher in quantum computing and algorithms. Are you as excited about quantum technology and its future applications as we are? We are now
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modelling, learning-based reconstruction and classification algorithms, enabling joint optimisation of optics and data processing. We are looking for an excellent PhD candidate in photonics (48-month duration
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 10 days ago
. Description: The Principal Component-based Radiative Transfer Model (PCRTM) group at NASA Langley Research Center has developed innovative radiative transfer models and associated retrieval algorithms
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situated in the field of machine learning. Potential research topics include, but are not limited to, algorithmic knowledge discovery, graph mining and social network analysis, optimization for machine
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Requisition Id 15721 Overview: We are seeking a Postdoctoral Research Associate who will contribute to the development and implementation of novel quantum algorithms for materials simulation, with
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decomposition algorithms (such as Logic-based Benders decomposition) for which it is crucial to define how to exchange information between the various subproblems into which the original problem is decomposed
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, enabling algorithm–circuit co-optimization across the computing pipeline with respect to key metrics such as power consumption, computational delay, and area efficiency. Beyond circuit prototyping