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are invited for the position of Senior Research Scientists for Computational Electromagnetics research To conduct research on advanced computational algorithms for modeling of complex electromagnetic scattering
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of Excellence for Data Driven Discovery. Job Responsibilities: Analyze biomedical data with minimal supervision by performing advanced analysis, algorithm implementation, programming, and quality check. Assist
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meetings. Contribute to high-quality outputs, including research publications, project reports, and grant deliverables. Advanced AI Algorithm & LLM Application Development Implement advanced techniques
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- Reinforcement Learning Algorithms COURSE SCHEDULE: April 1, 2026 - April 28, 2026 Number of available GSI positions: 1 position at .25 fraction, pending enrollment Number of positions reserved for PhD Students as
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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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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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intelligence (AI) and machine learning(ML). Duties This position combines knowledge of the Earth observation (EO) domain (EO instruments, EO data, EO algorithms, modelling, etc.) and AI/ML, as well as data
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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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/@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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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