115 parallel-processing "Computer Vision Center" PhD positions at Technical University of Denmark
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intersection of computer vision, AI, and marine biology. This project aims at developing AI-based methods to transform underwater imagery from a simple visual record into a quantitative tool to measure species
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Job Description Are you passionate about computer vision, deep learning, and multimodal AI, and excited to shape how humans and machines communicate? Do you want to help build the next generation of
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interdisciplinary environment Excellent written and spoken English Experience in one or more of the following areas would be an advantage: 3D computer vision, point-cloud processing, or 3D reconstruction
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Job Description Are you excited about scientific AI and developing efficient computer vision methods for analysis of complex 3D scans of natural heritage samples? Join our interdisciplinary team as a
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Job Description Are you interested in developing event-driven, energy-efficient methods for processing real-world acoustic signals, grounded in the physics of sound and the computational principles
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assistant professor or associate professor whose research advances parallel and high-performance computing. Relevant areas include computer architecture, operating systems, compilers and the
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project. The alliance partner is Chalmers University of Technology, Electrical Engineering, Signal Processing and Biomedical Engineering Division. Responsibilities and qualifications Do you have a
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. Publish research results in leading journals and conferences in machine learning, computer vision, and computational imaging. Contribute to research-based teaching and supervision of MSc and BSc student
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at the Center of Energy Resources Engineering, DTU Chemical Engineering. You will be involved in the development, parameterization and validation of new coarse-grained molecular models and the
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build a practical route towards large-scale quantum information processing. The project connects near-term quantum advantage in MBGBS with a longer-term vision for universal photonic quantum computing