211 development-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions at ETH Zurich
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interested in applied machine learning and computer vision at the intersection of research and industrial deployment. Job description Develop and implement state-of-the-art computer vision algorithms
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industrial partners to tackle advanced modelling, simulation, sensing, and data analysis challenges in engineering systems across sectors. Project background The COMBINE Doctoral Network aims to train a cohort
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80%, Zurich, fixed-term The Laboratory of Molecular Medicine, led by Prof. Yohei Yamauchi, is developing the ViViD-AFM V2.0—a next-generation nano-imaging system. This project focuses
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development, validation, and safe integration of locally hosted LLMs for automated coding of pediatric diagnoses from electronic health records (EHRs), with the goal of enhancing research capabilities and
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promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global
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100%, Zurich, fixed-term The Planetary Geochemistry group (Prof. Maria Schönbächler) investigates the pathways that led to the formation and evolution of planets in our solar system. The group is
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travel behaviour data or urban mobility patterns Good German language skills (at least B2) Experience with collecting own data (e.g. questionnaires; measurements) Experience with developing networks with
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Preprocess, annotate, and manage a rich multimodal dataset, applying both qualitative and quantitative analytical methods to model clinician attention, verbal reasoning, and documentation behaviour Develop and
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to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop
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biocompatible nature, polysaccharides offer exciting opportunities for the development of next-generation functional materials. This PhD project combines materials science and microbiology to explore how