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(DMTA) platform combining generative AI, ultra-large synthetically accessible chemical spaces, physics-informed molecular representations, off-target prediction, and experimental feedback. The
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(DMTA) platform combining generative AI, ultra-large synthetically accessible chemical spaces, physics-informed molecular representations, off-target prediction, and experimental feedback. The
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usage Skills: Hands-on experimental mindset, strong understanding of laser and optical physics, strong problem-solving and troubleshooting skills, experience with data analysis and experimental
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Environmental Fluid Mechanics Laboratory ( https://pietrodeanna.org ) at the University of Lausanne, led by Prof. Pietro de Anna, where the experimental work will be carried out, and with the Theoretical
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and at electrochemical interfaces. Your tasks The research focuses on experimental investigations and theory building of charge and ion transport processes in functional materials. Synthesis and
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-doctoral candidate with experience in numerical modelling, preparation and experimental characterization of nanostructured materials to join our SNSF project “Coupled oscillations in plasmonic
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-forming and integration into devices. Your tasks R&D of acoustic system (acoustics/multi-physics simulation, experimental planning, setup, measurements, analysis) Conceptualization and realization of
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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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learned control policies and neural representations of movement in collaboration with experimental labs Profile Common requirements: PhD (completed or close to completion) in computer science, applied
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-generation telecommunications. You'll work at the exciting intersection of experimental materials science and materials informatics, collaborating in an interdisciplinary team. Your tasks Conduct