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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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-scale 2D video datasets, enabling reliable inference across diverse recording conditions, camera configurations, and experimental paradigms. Evaluate model performance across datasets and conditions, and
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. The proposed modulation and control strategy should pursue the objectives of increasing the efficiency or reliability of the traction drive by means of suitably modified control based e.g.: on improved
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with data, and present conclusions in a comprehensible manner. Teaching and facilitation skills, ability to structure teaching and provide constructive feedback. Independence, reliability, good
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. This position requires expert-level technical and functional ERP mastery, paired with deep institutional knowledge of UCSF's business processes, operational structures, and policy frameworks. Serving as a
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, electrical, or vehicle servicing. Inspects, repairs, installs, modifies, rebuilds, constructs, and maintains woodwork and other related structures Provides field supervision to maintenance staff assigned
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language, particularly Greek or a Balkan language. You will bring experience of structured data entry in an online environment, alongside a calm, methodical approach and excellent attention to detail. You
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of the goals targeted are reducing energy consumption, and hardware cost, increasing performance and reliability. You will receive plenty of guidance but also have the freedom to take the project in
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Computational Mathematics for reliable and trustworthy uncertainty quantification in science, engineering, and machine learning. Your workplace You will be employed at the Division of Applied Mathematics in a
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. Your competencies We are looking for a colleague with a strong interest in empirical social science research and a careful, structured approach to working with data. The ideal candidate is comfortable