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); Optical system analysis and simulation; Developing AI/ML algorithms; Perceptual and objective visual quality assessment for holograms. For this function, our Brussels Humanities, Sciences & Engineering
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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efficiency-oriented methods, and disseminating research outcomes through publications, collaborations, and open-source contributions. Key Responsibilities: Develop accelerated AI/ML and robotics algorithms
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cardiovascular diseases. More specifically, the role involves developing and utilizing computational tools and systems to analyze and interpret biological or other research data. Utilizes and develops algorithms
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 6 hours ago
: Large-Space Gaze Analysis via Multi-camera System for Social Interactions” to develop datasets and algorithms to capture and analyze eye gaze. About the project We are supporting the development of highly
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, JR102161] Application Title: Postdoctoral Researcher in Quantum Algorithms and Quantum Information Science for Quantum Field Theoretic Applications to Condensed Matter, Nuclear, and High Energy Physics
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Seizure prediction algorithms will be developed using the one-of-a-kind ultra-long-term human intracranial EEG dataset obtained from the Neurovista Corporation clinical trial of their Seizure
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are met. Undertake these responsibilities in the project: Develop and deploy multimodal AI algorithms for fire, smoke, and hot-work detection by fusing optical, thermal/infrared, LiDAR, RADAR, and gas
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will be responsible for working, as part of a skilled technical team, to write and test software in high level languages, and to develop and test signal processing algorithms from concept
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data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems, which can benefit a wide range of real-world