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field. Strong research background in recommendation systems, graph neural networks, and multimodal representation learning. Solid programming and model development skills in machine learning and deep
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teaching and curriculum development in Python programming, machine learning, deep learning, and modern AI applications. The ideal candidate brings strong applied skills and a commitment to hands-on, project
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, machine learning, and deep learning Good written and oral communication skills Experience in leading research projects Proficiency in basics of programming languages such as Python Self-Motivated and takes
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Macomb Community College Adjunct Faculty demonstrate deep subject matter knowledge and provide effective instruction to students using various modalities including, but not limited to, on campus, online
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
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, a novel spatial discovery proteomics concept that integrates microscopic cell phenotyping with deep-learning based image analysis and global MS-based proteomics. This unique method was recently
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 15 days ago
dynamics data and advanced graph-based deep learning models to decode long-range communication pathways within macromolecular complexes. The PhD candidate will play a central role in this effort by
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[Pichon 2024] or infra-red [Abdel-Khalek et al 2021], connected in IoT, inexpensive for wide distribution. Combined with artificial intelligence methods, in particular deep learning algorithms, we obtain
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The project involves building and curating a comprehensive food image dataset suitable for mobile AI applications. High-accuracy deep learning models will be trained on this dataset and then
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particular emphasis on deep-field observations. The position provides access to large, high-impact JWST datasets and opportunities to contribute to multiple ongoing programs, as well as to a broader portfolio