363 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions in Switzerland
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combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real-world energy applications, the project aims to better capture the dynamics of urban infrastructures
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with competitive salary according to ETH standards Interdisciplinary and international research environment You can expect numerous benefits , such as public transport season tickets and car sharing, a
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better learning and reasoning over data. We are looking for a Postdoctoral Researcher for an initial project of 24 months (extendable depending on funds). In partnership with a leading company in the field
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between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain is open to discussion. Project B – Understanding and Countering
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interdisciplinary research community at the EPFL School of Life Sciences fosters interactions with allied disciplines on campus, including engineering, physics, chemistry and computer sciences. EPFL offers an English
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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 how we ensure
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computational analyses of single-cell, spatial transcriptomics, and multi-omics datasets Developing and maintaining reproducible, well-documented analysis pipelines Applying and adapting machine learning and AI
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Opportunities to learn cutting edge techniques Perspectives for career development A diverse and interdisciplinary team Working, teaching and research at ETH Zurich We value diversity and sustainabilityIn line
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to supply a letter upon request. Application deadline: 30 November 2025. Applications should be uploaded to the EPFL recruitment page: https://facultyrecruiting.epfl.ch/position/60817413 Inquiries can
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approaches. The research will also design a European-scale turbidity and sediment monitoring framework combining in situ observations and satellite remote sensing. Where to apply Website https://jobs.unibas.ch