179 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" positions at ETH Zurich
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deep learning workflows for tree species mapping. The position contributes to building a scalable system for forest monitoring by refining model performance and ensuring high quality geospatial data
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, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out
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only supports your professional development, but also actively contributes to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a wide
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motivated colleague with an interest in learning and contributing to public health and genomic epidemiology. The position requires: Experience with bacterial bioinformatics, specifically work with pangenome
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As part of the MALOQ project, you will train state-of-the-art ML models to learn atomic, electronic, and vibrational properties of large-scale atomic systems representing the building blocks
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with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our
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opportunities with experts in mechanical engineering, tissue engineering, and the biomedical field You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of
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bioprinters Collaboration opportunities with experts in mechanical engineering, tissue engineering, and the biomedical field You can expect numerous benefits , such as public transport season tickets and car
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, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits chevron_right Working, teaching and research at ETH Zurich We
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An exciting working environment Opportunities to learn cutting edge techniques Perspectives for career development A diverse and interdisciplinary team chevron_right Working, teaching and research at ETH Zurich