298 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Technical Lead - Genome of Switzerland (GoS) Mission The Technical Lead / Genomic Data Engineer
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100%, Zurich, fixed-term The Algorithms and Visualization Group in the Social Networks Lab at ETH Zürich is headed by Prof. Dr. Ulrik Brandes. We develop network data science methods
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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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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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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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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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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
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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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research methods, including engagement with industry partners and analysis of secondary data. The candidate will be part of a research project led by Dr. Christian Wagner and Prof. Dr. Stephan Wagner