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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
learning in humanoid robotics for industrial applications. In this project, our goal is to recruit one to two engineers to contribute to: the development of deep learning-based vision tools adapted
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of machine learning and deep learning methods and classification of health and wellness parameters. Data acquisition, as well as the preparation of presentations, scientific publications, and technical reports
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comparing supervised and unsupervised methods (e.g., regularized regression, tree-based models, ensemble methods, clustering, dimensionality reduction) and deep learning approaches Developing and applying
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), with particular emphasis on fairness and privacy. Duties and responsibilities may change over time. The successful candidate will be part of the Deep Data Mining group and Responsible Artificial
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applicants for adjunct/temporary part-time instructors to teach courses in our Construction Management program, who are dedicated to excellence in teaching who desires to become part of a creative, vibrant
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Essential skills, knowledge and experience: Experience with machine/deep learning development Data-Centric AI Knowledge Notions of cybersecurity and networks are optional Spoken and written English Desirable
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Job Purpose To make a leading contribution to the BIOGRAPH – Biophysical Tumour Growth Modelling for Novel GBM Treatment Response Assessment: Harnessing Physics-Informed Deep Learning project
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the successful applicant to strengthen specific position skills where needed, to learn about the university systems, campuses, and vendor collaborators, and to develop a deep understanding of the FPB environment
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that impact student learning. Exhibit a deep understanding of how in-school and out-of-school factors influence student achievement, the role of school systems to prioritize the success of its most vulnerable
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quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not mandatory. Excellent written and