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/jiec.13205 Komkova A., Habert G. 2023. Optimal supply chain networks for waste materials used in alkali activated concrete fostering circular economy. Resources, Conservation & Recycling. DOI:10.1016
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mechanisms underlying bacterial infections and the emergence of antimicrobial resistance, and (2) evaluate novel treatment strategies. A key objective is to optimize the platform for translational applications
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these circuits into functional cellular therapies. Job description Job responsibilities include engineering, transducing, and characterizing primary T cells with synthetic genetic circuits; optimizing and
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for the simulation of a wide range of future scenarios, and 3) advance the use of sequential decision analytics (e.g., reinforcement learning or stochastic optimisation) for the identification of optimal adaptive
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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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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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. Job description Job responsibilities include engineering, transducing, and characterizing primary T cells with synthetic genetic circuits; optimizing and executing protocols for retroviral or lentiviral