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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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. Required Education Prior to the effective date of the appointment, a Ph.D. degree in Civil Engineering or related field. Required Experience Six (6) journal publications related to computational modeling and
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Dash, Tkinter, or web-based frameworks) Experience working with data-driven simulation and model validation in power grids (Ph.D level is mandatory) Ability to work independently and collaboratively in a
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) data analytics, wrangling, management, and synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development
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The lab of professor Jesper Tegnér at KAUST has openings for three postdoctoral fellowships in Data-driven Machine Learning for unbiased Discovery of Generative Models with special reference
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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data-driven model for storm surge prediction. iii. Data Analysis: Process and analyze climate, ocean wave and coastal data to improve model accuracy. iv. Research: Conduct research to enhance wave
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promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for the following post: Postdoctoral
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level anomaly with extreme weather conditions: Utilize the developed numerical model to build a database of sea level anomaly with different weather conditions, which can be used to develop a data-driven
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational