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/C++, FORTRAN and/or Python. Experience working with geo-spatial information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software
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intelligence (including machine learning). Desired Qualifications Publications in health sciences and biomedical journals. Demonstrable interdisciplinary research experience. Deep understanding of machine
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spans quantum mechanics, statistical physics, and deep learning and aims to enable AI-guided predictions of synthesizable and functional materials such as energy storages, catalysts, smart-alloys, energy
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. Panagiotis Papadakis and Associate Prof. Mihai Andries Keywords: Deep learning, event cameras, human skeleton, pose estimation, action recognition Where to apply Website https://imtatlantique.fillout.com
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of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world
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-- Deep learning for nuclear physics -- Effective field theory for nuclear structure -- Hard Probes of Quark-Gluon Plasma -- Hot and cold lattice QCD -- Physics in electron-ion collisions -- Relativistic
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Knowledge of MLOps concepts, including dataset ops, training pipelines, evaluation frameworks, deployment and monitoring. Understanding of deep learning fundamentals and hands-on experience with model
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may also work with one or more Ph.D. students or postdoctoral researchers to accomplish these goals. It is expected that the candidate will publish the results of their work in refereed journals and
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people from diverse backgrounds and with diverse characteristics to apply. Where to apply Website https://academicpositions.com/ad/university-of-antwerp/2026/postdoctoral-schola… Requirements Research
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
ensuring integration across academic, clinical, and research missions. The successful candidate will be a visionary academic physician leader with deep experience navigating the complexity of a large