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Vision Center (CVC, https://www.cvc.uab.cat ) is a center with over 150 persons, working on machine learning and computer vision research for more than 30 years, placed at the Universitat Autònoma de
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prototypes for projects in application areas including autonomous systems, robotics, cognitive and distributed sensing, and machine learning systems, among others. Successful candidates will be responsible
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related to cognitive and distributed RF signal processing and machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing. This position is with KRI
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. The PhD will combine behavioural experiments, machine learning, and explainable-AI methods to answer questions: Do SR techniques improve human face identification accuracy? How do SR-enhanced images affect
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 12 days ago
to optimize object placing. Knowledge and experience in programming, robotics, machine learning methods is necessary. Profile 2 (RAT4Autism-speech): this task is part of a project on robotic assisted therapy
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 24 hours ago
computational mechanics and scientific machine learning. The successful candidate will work on the design of hybrid, physics-informed modeling and identification frameworks for complex dissipative material
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 24 hours ago
of the ERC Consolidator project AUTOMATIX (see details below), we are seeking a PhD candidate to develop machine learning approaches for constitutive modeling. Context With the advent of machine-learning (ML
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computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine learning, with practical
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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Interviews for this studentship