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integrate calculations of quasielastic and deep-inelastic scattering processes into a unified framework for modeling electron-nucleus cross-section, and evaluate reaction and nuclear-structure models relevant
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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applications for a fully funded postdoctoral associate position. This position, available immediately, focuses on developing machine learning and deep learning methods for analyzing large-scale single-cell DNA
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successful in this role, you will hold (or be close to completing) a PhD/DPhil in machine learning, artificial intelligence, computer science, epidemiology, health data science, or a related quantitative
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
the international focus of the degree programmes, the chosen applicant will be expected to teach in English as well as Danish. Qualifications Applicants must have a PhD degree or must document equivalent
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, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow) Experience developing and deploying machine learning or deep learning models Ability to present complex results to multidisciplinary teams, including
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FieldManagement sciencesEducation LevelPhD or equivalent Research FieldPolitical sciencesEducation LevelPhD or equivalent Skills/Qualifications Ideal candidate: Holders of a PhD in social sciences, economics
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Qualifications: A Master's degree and a PhD in Data Science, Mathematics, Computer Science, Physics, or in a related field In-depth knowledge in current methodology of AI (Deep Learning, generative AI, Explainable
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Master's degree and a PhD in Data Science, Mathematics, Computer Science, Physics, or in a related field In-depth knowledge in current methodology of AI (Deep Learning, generative AI, Explainable AI, …) and
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of research Learn more: Our benefits , where we prioritize your well-being and success to enhance every aspect of your life. Being a part of the University at Buffalo community. As an Equal Opportunity