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Digital Twin for electric vehicle applications. The role includes development of battery management systems, machine learning models, and web-based user interface. Our objective is to improve
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of spatial models especially land-use regression model or machine learning EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit
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organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or
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experiments, algal bioprocess modelling and optimisation, machine learning and data-driven modelling, and business case development, ensuring the technology is optimised for deployment across diverse industrial
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responsible for setting up molecular dynamics pipeline for biomolecular systems and developing novel machine learning models for research projects in the context of drug discovery. You will work on algorithmic
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for multimodal elastography and enabling deployment on portable devices (e.g., smartphones) for real-time diagnostics. The research combines continuum mechanics, machine learning, computational mathematics, and
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optimize real-time autonomous AI agents for immersive 3D game environments. This role involves a unique blend of cutting-edge research in computer vision, large language models (LLMs), and real-time action
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SA3D project aims at building a harmonised large-scale 3D geological model of the Alpine region of Switzerland until 2030. Such 3D models support a wide range of applications, including, but not limited
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/PyTorch) - Maîtrise de Git et LaTeX- English proficiency - Statistics, machine learning background, Optimization - Coding skills (preferably in Python/Pytorch) - Git, Latex Additional Information Work
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) and dynamic spread models for invasive forest and agricultural pests, integrating multi-source ecological data using machine learning and statistical approaches. Develop and validate phenological models