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advanced deep learning models: Design and implement a multi-branch neural network capable of integrating multiple data modalities into a unified representation. Implement a multi-task learning framework
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, are foreseen as a playground. This project is part of a doctoral network MSCA . In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
enable the long-term monitoring of the emissions from large point sources across the globe, which will be critical for tracking progress in reducing air pollution and achieving net-zero emissions under
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innovation, venture capital, and entrepreneurship. Job description Manage and grow ETH Zurich’s Investor Connect platform, connecting spin-offs and start-ups with a curated network of over 100 active investors
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the entropic elasticity of the eDNA network, a mechanism well described in polymer physics but largely unexplored in living biofilms. This could enable both short- and long-term adaptation to flow fluctuations
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has seen rapidly growing demand in recent years. In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on artificial intelligence, for modelling of macromolecular complexes
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environment – A responsible leadership role – An interdisciplinary environment in a strong research life science cluster – An attractive employer with a large national and international network The University
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authorities and administrations at a regional, cantonal, and national level, as well as for joining international networks focusing on studying novel forest realities. You hold a PhD and have an excellent
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-equipped research environment with a large network ranging from start-ups, small businesses to large firms to engage in field studies. The new professorship in the School of Management will be invited
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, carbon dioxide removal (CDR) is needed to balance residual emissions on the path to net zero and to manage overshoot through net-negative CO₂ removals. Since about four years, our group studies