83 applied-physics-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions at EPFL
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc position in 3D Computer Vision, remote sensing ... The Laboratory of Visual
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models of sensorimotor processing. We are recruiting two postdocs: Postdoc in Computer Vision & AI for Behavior Analysis Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Faculty Position in Experimental Particle Physics Employer
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environments. The project will explore how learning-based and agentic AI systems (e.g., agents built on large language or foundation models) can be combined with physics-informed process models, digital
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background, and an outstanding MSc degree in Engineering, Computer Science, Physics, Applied Mathematics, or a related field. You should be proficient in or willing to learn generative deep learning – in
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Research Center Development Advisor Mission The National Centre of Competence in Research
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detect reliable traces of life (biosignatures) – whether through remote sensing or direct onsite measurements – requires significant innovation. These challenges demand close collaboration across physics
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in ML-Based Co-Design at EPFL Mission The EPFL computer vision lab ( https
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technology transfer activities Profile PhD in microengineering, electrical engineering, mechanical engineering, applied physics, materials science, or a closely related field Strong hands-on experience
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candidates with A PhD in machine learning, computer science, applied mathematics, statistics, physics, engineering, or a closely related field, completed or near completion. Demonstrated expertise in