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field A strong background and keen interest in uncertainty quantification, structural reliability, optimization, Bayesian inference, surrogate modeling/emulation, and/or machine learning Excellent
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Excellent programming skills (preferably Matlab, or Python), and some experience in machine learning Strong analytical and problem-solving abilities Excellent communication and scientific writing skills, and
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method (FEM) simulations using metamodeling techniques and Machine Learning (ML). By enriching datasets and leveraging advanced simulations to optimize ML models, we seek to enhance manufacturing
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, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
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responsible for ensuring the smooth operation of the IT infrastructure and services at NEXUS. Your responsibilities are: Core Responsibilities: Setup and manage virtual machines within ETH Zurich’s
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-neutral university You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits
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are actively committed to a sustainable and climate-neutral university You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ
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willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest in hands
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business applications. Profile Required Qualifications Master's degree in Computer Science, Data Science, or a related technical field with strong foundations in machine learning OR Master's degree in
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Technical Proficiency: Familiarity with engineering tools with focus on design automation Experience in programming (e.g. Python) or machine learning and a desire to deepen your expertise Experience in