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behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Applicants with an interest in human perception, AI ethics, or forensic science are especially
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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
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University Abu Dhabi invites applicants to apply for the open Post-doctoral Associate position to perform primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control
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an allied field. An MSc degree in a relevant area is desirable though not necessary. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning
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(CVSSP, University of Surrey), which researches machine perception for the benefit of society through technological innovations in healthcare, security, entertainment and robotics. CVSSP is internationally
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? Join us to develop deep learning techniques for fusing acoustic sensor data with other vehicle sensors for robust multi-modal environment perception. Help shape the future of autonomous driving! Job
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well as expertise in machine learning and neural networks. The researcher will also work collaboratively with project members to conduct cognitive psychology experiments involving infants and individuals with
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Inria, the French national research institute for the digital sciences | Bordeaux, Aquitaine | France | 2 months ago
be designed by the modeller. Self-supervised learning is fundamental for developmental processes such as babbling. Schwartz et al. [11] propose that perception and action are co-structured in
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paradigms centered on human perception. Finally, the recent rise of foundation models and multimodal artificial intelligence opens up new perspectives at the interface between coding and machine learning
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to elucidate neurobiological mechanisms of cognition broadly defined. A research program in Cognitive Neuroscience could include a focus on basic attention, perception, motor skill, affective processes, learning