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focus on technology foresight developing data-driven approaches for probabilistic modelling of new technologies; a second will focus on policy analysis leveraging machine-learning approaches
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audiences. Location / Work Model: Primarily Ann Arbor, Michigan, with system-wide coordination across the Flint and Dearborn campuses. Meaningful on-site presence is expected. Flexible hybrid arrangements
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-op experiences; contribute to MIT’s Faculty Academy to train educators in this new model; collaborate closely with MIT faculty, staff, and researchers; and reimagine education for the AI era and
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, assessments, and co-op experiences; contribute to MIT’s Faculty Academy to train educators in this new model; collaborate closely with MIT faculty, staff, and researchers; and reimagine education for the AI
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models that support operational analytics, strategic reporting, automation, and emerging AI-driven insights. This role is critical to enabling data-informed decisions across academic, administrative, and
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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Associate Professor of Data-Driven Material Modeling (salary group W2
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systems, advanced sensing technologies, application of deep learning and AI for wireless systems, etc. For more details, please view: https://www.ntu.edu.sg/eee We invite applications for the position
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to develop an aeromedical dispatch management software as a technology hub that provides data-driven prediction model and an automated dynamic decision model. The successful candidate will be responsible
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models, statistical signal processing, statistical theory and computational statistics, and probability theory, with applications in areas such as medicine, environmental research, and financial
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models and theories and inclusive educational design; demonstrated presentation skills; working knowledge of common computer applications (e.g. word processing, PowerPoint, databases) and assistive