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by beam (e.g. laser light, electrons) and plasma induced processing. LAMP provides full cycle technology development, starting from novel materials, deep understanding of the background physics of beam
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) This project takes place within the Marie Curie Doctoral Network on Soft Active Matter Microrobots for Medicine (SAM3). This doctoral network of 12 PhD candidates aims at exploring the ear-nose-throat area from
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at the EMPA please check the website (https://www.epfl.ch/education/phd/edmx-materials-science-and-engineering/ ). Our offer Duration: 3 years full time Starting date: From October 2026 Deadline
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innovative deposition processes and high-throughput materials screening. The opportunity Contribute to groundbreaking research on accelerated thin-film and process development for emerging applications such as
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characterization of NIR-emitting OLED devices Close collaboration and active scientific exchange with project partners Analysis, interpretation, and documentation of experimental results Preparation and publication
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materials synthesis with synchrotron radiation, neutron scattering, spectroscopy and electroanalytical methods. A major research direction is the development of physical methods and models for the description
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energy systems and datasets. Validate and benchmark the developed models using building measurements, physics-based simulations and energy-system optimization models. Investigate how tabular foundation
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, and selective forgetting, and translate these into training-recall-forgetting cycles on physical polymer films and bilayer actuators. Contribute to integrating learning materials into soft robotic
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physics-based and data-driven modeling and data-analysis skills (e.g. Python, MATLAB, or comparable tools) are an advantage High interest in interdisciplinary research Excellent communication skills and
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-impact scientific publications. Your profile Master’s degree in Materials Science, Chemistry, Chemical Engineering, Physics, Biophysics, Pharmaceutical Sciences, or a related field. Quantitative mindset