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machine learning and deep learning methods will be developed and applied within interdisciplinary research networks. The professorship should also contribute to the generation and supervision
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deep learning, on the topic “Analysis and Reconstruction of Digital Data Fragments”. This internship is intended for students at M2 level, or in the final year of an engineering school, interested in a
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and adapt machine learning and deep learning models (e.g., convolutional and transformer-based architectures) to biological questions in collaboration with investigators. Develop interpretable models
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, or related field is preferred. Typical Competencies Deep knowledge of enterprise data ecosystems, including data platforms, data management principles, engineering practices, integration technologies, and
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the prescribed manner including, but not limited to, ranges, steamers, meat slicers, and deep fat fryers Observes the rules of Dining Services pertinent to food handling and production Trains lower labor grade
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website at: http://www.nyu.edu/about/careers-at-nyu.html . NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/nyugreen. NYU is an Equal
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. Experience with programming and AI (e.g., Python, RAG, Agent System). Experience in GenAI, natural language processing, machine learning, and deep learning Experience with software development tools and
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analysis and report on information. Proficient in Microsoft Office applications, particularly Microsoft Excel and willingness to learn new skills and applications. Good interpersonal, oral and written
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Data understanding Software development of automatic writer/hand identification And will allow you to develop competences in Software management (e.g., Git use) Data preparation to train Deep Learning
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France 91120, France [map ] Subject Areas: Applied Mathematics - statistical learning, deep learning, AI for mathematics, AI for Science Appl Deadline: 2026/03/24 03:59 AM UnitedKingdomTime (posted 2026