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Here you will find detailed information about the research projects and grants approved by the SNSF: Grant SearchExternal Link Icon
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the associate fellow will support the early-career fellow’s project and how they can help to build links with Zurich’s academic and art communities General information Employment Early-career fellows are employed
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Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth Observation, Educational Technology, Efficient AI, Explainable AI, Haptics, Human-Computer Interaction
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contacted for reference letters Scientific publications are an advantage a maximum of three should also be included when available Further information about Engineering Design and Computing Laboratory can be
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magnetic sources in the heart become possible. To this end, data for deep inference and digital twinning of the heart is obtained. Job description The position concerns MR pulse sequence design and image
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are computationally expensive, making them clinically impractical at scale. The solution lies in image-based, data-driven (AI) models that learn to predict personalised fracture risk directly from routine bone-density
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: examples of workshops or courses designed/delivered; links to teaching materials, videos, or documentation; and, if applicable, a list of projects or publications Contact details of two referees Please note
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, movement classification, outcome modelling in stroke populations, and synthetic data evaluation. The position offers the opportunity to advance and deploy scalable biomechanical assessment systems in
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Building a quantum computer that can solve real-world problems will require the integration of many highly coherent qubits. Hole-spin qubits in planar germanium quantum wells are among the most
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researcher. The project aims to develop foundation models that can learn from heterogeneous tabular data across buildings and district-scale energy systems and transfer across systems, operating conditions