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Field
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
in Computer Science or related field. Required qualifications: A Ph.D. degree in Computer Science, Data Science, Software Engineering or related field. Solid research experience in applied AI, and in
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engineering, or a related field (for postdoc); a master’s degree is required for research assistant level. Strong knowledge of process modeling and integration principles, including mass and energy balances and
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technologies and methodologies, and Geographic Information Systems software (e.g., ArcGIS, QGIS), Python, and Matlab is required. Knowledge of other programming languages (e.g., C, C++, R, Javascript) is
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of software engineering techniques to ensure interoperability of their modelling and mining ecosystem. This position will run from October 2025 (or shortly after) and it has an expected duration of 24 months. A
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, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering
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Networks, and ICT Services & Applications. Your role The candidate will contribute to the Software Engineering research agenda of Serval. SerVal conducts research in security and reliability in software
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University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer
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, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering
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with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding. Export control, no clearance: This position requires access to technology
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engineering, or a related field (for postdoc); a master’s degree is required for research assistant level. Strong knowledge of process modeling and integration principles, including mass and energy balances and