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We are looking for a creative and hands-on Polymer Chemist with Formulation Expertise to join our growing team. In this role, you’ll play a key part in developing and optimizing innovative, bio
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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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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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100%, Zurich, fixed-term We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will be involved in the development, optimization, and maintenance of our
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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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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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, optimized for high-performance computing (HPC) environments. Classifying ice crystal habits using Convolutional Neural Networks (CNNs). Providing intuitive graphical interfaces for user interaction and data
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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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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