29 physics-engineer-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" Postdoctoral 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. Postdoctoral Researcher / Research Engineer Research challenge The Research Challenge: AI
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. 2 PostDoc Positions at EPFL on Biological Foundation Models General The Artificial
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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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highly motivated Postdoctoral researcher (W/M) to join our Neuroengineering Laboratory at EPFL ( https://go.epfl.ch/ramdya/ ) to work on an ERC funded project aiming to reverse-engineer insect limb motor
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. PostDoc Position at EPFL on Multimodal Foundation Models in Collaboration with Novartis
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mathematics, computational neuroscience, robotics, physics or a closely related field; Strong publication record in relevant venues; Solid programming skills in Python and a modern deep-learning framework
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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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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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infrastructure in both Fribourg and Lausanne. Additional information For more information about HOBEL: https://www.epfl.ch/labs/hobel/ For more information about Prof. Dusan Licina: https
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methodological and focuses on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies. The role is suited for candidates with a strong machine learning