83 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" PhD positions in Switzerland
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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 range of sports offered by
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Company-Video Where to apply Website https://academicpositions.com/ad/swiss-federal-institute-for-forest-snow-and-la… Requirements Research FieldEngineeringYears of Research Experience1 - 4 Research
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carbohydrates, namely the core-1-derived O-glycans, shape the lymphatic endothelial cell glycocalyx and its recognition by myeloid immune cells. Job description The successful candidate will: Learn to work with
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The Institute for Biomedical Ethics at the University of Basel (IBMB), Switzerland (http://ibmb.unibas.ch
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that drive learning and attention in biological processing systems. Working environment the NCS group, it’s working ethics and spirit is fully described in the group’s “lab manual” (https://ncs
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8 Nov 2025 Job Information Organisation/Company University of Basel Research Field Computer science » Other Engineering » Biomedical engineering Engineering » Computer engineering Physics » Optics
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transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits Working, teaching and research at ETH Zurich We value diversity and
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of opportunity, 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
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value diversity and sustainabilityIn line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real