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multidisciplinary group at the crossroads of engineering and biology. Our research explores materials, technology and integration of soft bioelectronic interfaces and electronic skins. We design, fabricate and
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Modelling (BIM), Geographic Information Systems (GIS) or computer programming is a plus. A master's degree or professional experience in architecture is preferred but not required. The employment rate varies
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than 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://www.epfl.ch
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breakdown or electromigration). Compared to other imaging modalities such as electron microscopy, X-ray microscopy is non-destructive and hence ideally suited for in-situ and operando 3D imaging. However, at
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breakdown or electromigration). Compared to other imaging modalities such as electron microscopy, X-ray microscopy is non-destructive and hence ideally suited for in-situ and operando 3D imaging. However, at
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the position may be sent to: [email protected] Please note that applications submitted by email will not be considered; all applications must be submitted through the online application portal. epfl.ch/labs
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Hands-on experience with carrier characterization techniques (e.g., dynamic light scattering, zeta potential, HPLC, electron microscopy) Microfluidic synthesis/purification expertise Knowledge of drug
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both the School of Computer and Communication Sciences and the School of Life Sciences, as well as the EPFL AI Center. We are recruiting a postdoctoral researcher with strong expertise in modern AI, in
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systems. By combining state-of-the-art spectroscopy with strongly correlated electron systems, we seek to uncover fundamental physical phenomena that emerge far from equilibrium. Our laboratory continuously
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with national and international teams of mathematicians and computer scientists PhD applicants must possess a Master's degree in mathematics, theoretical physics, computer science, or a related field