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machine learning and artificial intelligence For postdoctoral applicants: • A PhD in computer science, engineering, mathematics, or a related field, completed or expected by the starting date • A strong
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a relevant PhD/DPhil (or near completion) in Computer Vision Or Machine Learning. Strong publication record at the principal international computer vision and machine learning conferences. Sufficient
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able to communicate fluently in spoken and written English. Previous publications from conferences in computer vision or machine learning are considered a merit. Your workplace The Division of
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methods microscopy data, biophysical systems, or computational biology. Our section The project will be hosted by the IMAGE section, which performs research in machine learning, computer vision, and
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working on application-specific projects and experimental validation data. Our section The project will be hosted by the IMAGE section, which performs research in machine learning, computer vision
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knowledge Applicants should have: A good background in machine learning, deep learning, artificial intelligence, or computer vision Strong Python programming skills Experience with at least one deep
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dataset or benchmark to support reproducibility and comparison with future work. The work is expected to lead to publications in established computer vision, machine learning, artificial intelligence, and
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research methods, build and evaluate computer vision and machine learning algorithms empirically. Author research articles at an international level for peer-reviewed conferences. Engineer software based
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Classification Title: RES AST SCTST Classification Minimum Requirements: PhD in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Machine Learning or a closely related
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Classification Title: RES AST SCTST Classification Minimum Requirements: PhD in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Machine Learning or a closely related