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Field
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: detection of objects and relations between objects, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions carried out and
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management, project management and presentation skills Outstanding proposal and paper writing skills Demonstrated creative and proactive approach towards problem solving Proficient with computer applications
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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(completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative modelling (diffusion
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Université de Bordeaux / University of Bordeaux | Villenave d Ornon, Aquitaine | France | 28 days ago
genomic diversity and genetic load from available genomic data for various woody species. For this, you will use the available pipelines from phase 1 of the project and apply machine learning-based methods
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Location: Cambridge, Massachusetts 02142, United States of America [map ] Subject Areas: Biology Machine Learning Artificial Intelligence Appl Deadline: (posted 2025/09/30, listed until 2026/03/30) Position
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and refined our pioneering AI-driven methods. This project focuses on improving protein structure prediction, design, quality assessment, and dynamics using innovative machine learning techniques. You
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methods, integrating qualitative approaches (e.g., interviews, walk-alongs, focus groups) with quantitative techniques (e.g., computer vision, physiological sensing, environmental monitoring, crowd
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of Engineering as well as the new Virginia Tech Institute for Advanced Computing (IAC) located in the Greater Washington, D.C. area. The position involves conducting research in signal processing, machine learning
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background in physics or mathematics or interdisciplinary biophysics, and experience in machine learning is preferred. 3. Have published high-level research papers in related professional fields. 4. Have a