145 evolution-"https:"-"https:"-"https:"-"UNIVERSITY-OF-LUXEMBOURG" positions at ETH Zurich
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are FAIR-compliant, secure, efficient, and operated in a sustainable manner over the long term. Furthermore, you will actively participate in the design, prototyping, and further development of RDM
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Pharma Research and Early Development (pRED). The program focuses on developing new tools and methods to address challenges in medicine and therapeutic development. Project background Adeno-associated
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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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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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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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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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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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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