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with large language models (LLMs). The successful candidate will investigate both theoretical aspects – such as understanding the mechanisms and limitations of reasoning in modern LLMs – and practical
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quantum sensing techniques to probe these emergent states. The successful candidate will join a small, collaborative team and be involved in all stages of the research cycle: design and operation of
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for collaboration, networking, and career development. Moreover, the city offers a high quality of life, a vibrant cultural scene, and an international atmosphere. Selection process Applications will be reviewed on a
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materials and processes to address the important challenge of producing fuels, electricity, and chemicals in efficient and sustainable ways. An important line of research focuses on the development
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publications. Desired: Experience in nanopore and/or other single-molecule experiments and their interpretation Coding skills for advanced data analysis, machine learning, kinetic modeling, etc. Nanofabrication
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responsibilities: Develop, implement and test models of doping and trapping phenomena, including electronic and ionic transport processes in organic semiconductors and beyond Extend capabilities to simulate electro
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understanding of protein systems. As a PhD student, you will: Design and perform fluorogenic and nano-photonic DyeCycling experiments. Write/adapt analysis code to process fluorescence trajectories and extract
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? No Offer Description PhD position in Computational mechanics The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student
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the esophagus with relevance to eosinophilic esophagitis. The research project will involve patient-derived samples, including organoids and air-liquid interface cultures, and experimental esophagitis models
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layers, thorough FLA processing, and extensive materials characteri-zation using XRD, electron microscopies, TOF-SIMS, electrochemical methods, etc. Modeling and simulations should help us to explain