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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 22 hours ago
training, interdisciplinary collaboration, and methodological breadth. The interdisciplinary Health Psychology Program (http://healthpsych.charlotte.edu ) includes faculty from the departments
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, investigating quantum mechanical effects in information processing within (quantum) neural networks, or in elementary particle physics at high-energy accelerators. The aim of the professorship is to closely
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conclude on December 31st 2029. The goal of this research effort is to apply machine learning (ML) techniques, in particular (equivariant) graph neural networks to accelerate the creation of all physical
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: Developing novel techniques to understand how information is processed within deep neural networks. Developing methods that achieve high accuracy while also being safe, interpretable, responsible, and reliable
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will be part of the project team of Agenda GreenAuto: Green Innovation for the Automotive Industry, no. C644867037-00000013, investment project no. 54, in the context of PPS10: Neural Network-based
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related field by the beginning of the thesis (~ September 2026). - Good understanding of networks, protocols, etc. - Good understanding of artificial intelligence (regression models, neural networks, etc
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | 3 months ago
artificial intelligence algorithms, including machine learning methods, deep neural networks, and adaptive algorithms for optimizing the behavior of dynamic systems is required. The candidate must master the
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/mscapf2026 Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Multi-modal computer vision Event-camera sensing Pose estimation Graph Neural Networks
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. The neural networks currently being developed at LISTIC to detect and segment areas of movement in interferograms will be tested and validated at known sites so that these methods can then be generalized
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, Applied Machine Learning, Neural Networks and Deep Learning as well as Machine Learning for AI and Data Science and Bayesian Theory and Data Analysis. We are looking for an associate able collectively