143 evolution-"https:"-"https:"-"https:"-"https:"-"Queen's-University-Belfast" positions at ETH Zurich
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building material, contributing to the sustainable development of the built environment. Project background This PhD position is part of the interdisciplinary based at the Chair Gramazio Kohler Research
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demonstrated that the MoE Transformer architecture can significantly improve inference efficiency and model scalability. Developing and testing such an architecture will be crucial to GridFM's development. R3
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Zurich or another Swiss university Proven experience in software development Strong Python programming skills, with demonstrable experience in several of the following areas: GUI development CUDA for GPU
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as well as stable isotopes in tree rings. Forest sites are located in Switzerland and Czech Republic. Job description Your main tasks will include: Development of knowledge-guided machine learning
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to efficiently train on the large, densely-connected and graph-structured data encountered in our systems of interest. Your contributions would be across the spectrum from methodological development
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100%, Basel, fixed-term The Computational Evolution Group, led by Prof. Dr. Tanja Stadler, in the Department of Biosystems Science and Engineering (D-BSSE) at ETH Zürich works at the interface
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vision with technical expertise in hardware and software development. We investigate these questions on a number of real-world robots such as the Unitree G1 humanoid, Stretch 3, and drones. For details
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experimental and computational researchers on study design, data interpretation, and the development of reproducible computational workflows Support research data management, including data organisation, storage
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networks changes under mechanical loading, enabling the development of bio-based sensing systems for structural health monitoring. Project background We seek a motivated Student Assistant (HiWi) to support
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With a service-oriented and improvement-driven mindset, you and the team will contribute to the continuous development of innovative, data-driven approaches and projects in the context of open data and