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program. Analyze and interpret remote sensing datasets (satellite, UAV, and/or LiDAR-derived) relevant to fire, fuels, and landscape-scale research questions. Develop and/or adapt machine learning and deep
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Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. Special Instructions Summary Important Message 1) All
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, for up to two adoptions in your household. To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay
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Università degli Studi di Roma Tor Vergata - Dipartimento di Biomedicina e Prevenzione | Italy | 2 months ago
phenotypes. The post-doc will implement machine-learining and deep-learning fusion piplelines to combine high-dimensional imaging features and-omics data, building interpretable ipredictive models. Activities
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National Institute for Materials Science (NIMS) | JP Nagar III Phase, Karnataka | India | 2 months ago
-on experience in implementing and deploying deep learning models using Python and frameworks such as PyTorch or TensorFlow. Technical expertise in Large Language Models (LLMs), with practical experience in
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at: http://dimadamen.github.io/ Prior expertise in audio-visual perception and deep learning methods with a strong publication track record is expected, including first-author publications in CVPR/ICCV/ECCV
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Science / Engineering, Electronic Engineering or a closely related discipline, with a good track record of original research publications. The successful candidates will have experience in artificial intelligence, deep
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, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment
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University seeks two full-time, visiting faculty members qualified to teach undergraduate finance courses. The appointment will start in January 2027 and last for one semester (January 2027 - May 2027
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student, (d) to learn literature review, critical thinking, and scientific methods, (e) to develop deep and broad knowledge in HIV virology and immunology, (f) to develop responsible conduct in wet-lab