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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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Intelligence, including but not limited to Machine Learning, Responsible AI, and Computer Vision; Theoretical Computer Science, including Algorithms, Algorithmic Fairness, Game Theory, and Learning Theory
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on bipolar plates. The internship focuses on the algorithmic evaluation of camera images. Your tasks will include researching and prototypically implementing the evaluation algorithms, as well as designing
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discovery. This position is for the Discrete Algorithms group, Mathematics in Computation Section, within the Computing and Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL) and
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/@signalprocessingunioldenbu1018 ). Your tasks conduct research on the use of foundation models for real-time sound processing algorithms suitable for hearing aids (e.g., acoustic scene analysis, noise reduction, speaker separation
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Requisition Id 15634 Overview: The Data Analytics and Machine Learning (DAML) Group is seeking an exceptional mathematician to work on the development of rigorous theory and algorithms needed
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computational cognition. The successful candidate will work at the intersection of AI research, cognitive modelling, and human–machine interaction, contributing to the design of algorithms that incorporate
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, you will design, prototype, and optimize advanced simulation algorithms—particularly in the domain of cloth and deformable materials and contribute to our next generation of rendering and learning-based
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Schedule: Flexible Summary The intern will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in our cluster computers. Overall, the position will offer
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interests, including both scientific topics and algorithm/software development; Potential synergies with ongoing research at the University of Michigan with at least 2 professors on campus applying