132 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" positions at ETH Zurich
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off-site and on-site robotic additive manufacturing process for sustainable, low-carbon construction.To support the commercialization and technical development of this technology, we are looking for a
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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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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
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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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to the development of new theoretical and computational methods for the analysis and design of biological dynamical systems. The positions are funded by a European Research Council (ERC) Advanced Grant. The successful
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around the development of impact oriented new approaches to inventory our forest resources, decision support systems to manage our forests sustainably under risk, and translating our findings to policy and
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for the ASIC development, integrating it into custom PCB designs, and developing the complete measurement unit. The Rehabilitation Engineering Lab (RELab) at the Department of Health Sciences and Technology at
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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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the structure and function of plant pathogen genomes. We are looking for someone with prior experience in either fungal or transposon comparative genomics, who can explore the diversity and evolution of Starship