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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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“BrainShorts: Identifying neural mechanisms of dynamic video perception with deep learning”, funded by a NWO Vidi grant awarded to Iris Groen. The public summary of the project is as follows: Videos
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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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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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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and development of perception stacks for autonomous mobile systems in general in any field Machine learning/deep learning experience applied to perception and any experience with deep 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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teammates to develop experimental methods, and helping develop novel hypotheses about the visual perception of shapes. The data collection work involves posting timeslots on SONA and running in-person
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