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, research emphasis will be on power systems, including applications of machine learning and/or cybersecurity to power systems engineering. The electric power engineering program at WSU ranks among the top
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Research Scientist leads innovative research initiatives in geospatial science, remote sensing, and GeoAI, applying advanced analytics, machine learning, and image processing techniques to address complex
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, and public service. Job Description Purpose: The Assistant Data Scientist will develop, train, and evaluate machine learning models for hazard assessment, infrastructure vulnerability analysis, and
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The successful candidate should possess the following: • A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields • Highly motivated, committed, and capable
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environment for utility mapping technologies. Current machine learning models and their training data are limited in size, comprehensiveness, and realism – resulting in partial automation with limited
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, machine learning or related areas. Faculty of Science & Engineering Department of Electronics & Computer Engineering Contract Type: Specific Purpose Salary Scale: €55,399 - €60,250 p.a. pro rata University
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at Saxion University of Applied Sciences, you will contribute to the development of machine-learning models that connect powder characteristics and process parameters with the properties of the final
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, reliability, model-based AI, machine learning, and semantic or task-driven methods, within the group’s established research agenda. About the division and department At the Department of Electrical Engineering
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Assistant Professor – Technology - Computer Network System Management (CNSM) Apply now Job no: 562256 Work type: Instructional Faculty – Tenured/Tenure-Track Location: San José Categories: Unit 3
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, fabrication materials and orbital environments. Using a small number of representative test cases, we will trial Machine Learning-based predictive methods to estimate material condition and indicative reuse