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into functional cellular therapies. Job description Job responsibilities include engineering, transducing, and characterizing primary T cells with synthetic genetic circuits; optimizing and executing protocols
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. Integrate various datasets, such as tree species annotations, climate, and topography, into deep learning algorithms. Test deep learning models (Transformers and CNNs) for optimal accuracy using large
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the laboratory’s strategic goals. Contribute to the management and optimization of shared equipment, benefiting both the Institute of Geochemistry and Petrology and the Department of Earth and Planetary Sciences
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. Job description Job responsibilities include engineering, transducing, and characterizing primary T cells with synthetic genetic circuits; optimizing and executing protocols for retroviral or lentiviral
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software tools, including applications in geoscience, optimization, and techno-economic modeling. Guide the team in modern software development practices (e.g., version control, documentation, testing
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(IVT) at ETH Zurich intends to develop scalable optimization systems for operational support in large-scale road networks. Modeling and simulation are powerful tools for the development and validation
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-armed Bandits, Bayesian Optimization. Automated Model Design and Tuning: Neural Architecture Search, Hyperparameter Optimization. Computer Networking: Resource-Constrained Networking (e.g., Internet
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that of CO2 and world-wide efforts are underway to develop and optimize equipment with environmentally friendly gas mixtures. The successful candidate will research (mostly experimental) on the arcing behavior
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-generation magnetic materials. The goal is to optimize them for technological applications, including renewable energy systems and medical magnetic resonance imaging. Project Overview You will investigate
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for coordinated and equitable biodiversity governance 100%, Zurich, fixed-term 23.07.2025 | Department of Environmental Systems Science PhD Student in Data-Driven Policy Optimization