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machine learning technologies in order to provide evidence-based decision support tools in near real time across a variety of thematic domains: disaster risk reduction, sustainable agri-food systems
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for soft materials, with particular emphasis on thermo–visco–hyperelastic behavior, integrating continuum mechanics, scientific machine learning (SciML), and computational physics. The project aims
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Number 26FA0075 Posting Open Date Posting Close Date 06/30/2026 Qualifications Minimum Education and Experience The successful applicant should have completed a PhD in urban planning, civil engineering
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that are critical to creating effective learning and work systems within engineering. The postdoctoral scholar will collaborate with Professor Alexandra Coso Strong to examine how institutions build capacity (e.g
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methods, leveraging digital twins, data analytics, and reliability engineering. In parallel, the role includes project oversight responsibilities, supporting effective coordination of consortium activities
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, computer vision and machine learning algorithms. · Information dissemination and decision-support services · Policy related analysis and investigation · Previous interactions with transportation funding
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Polytechnique de Paris. The group conducts research at the intersection of statistical learning, machine learning, and data science, with a strong focus on structured data, representation learning, and
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topics: Free space optical communication Visible light communication DSP for coherent optical communication Machine learning and AI-native physical layer design Optical reconfigurable intelligent surfaces
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 27-Jan-26 Location: Abu Dhabi Categories: Academic/Faculty Internal Number: 64421 The Division of Engineering at New
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, dimensionality reduction and/or machine learning methods (e.g., Lasso, ridge regression) is highly desirable. Familiarity with neurostimulation, Parkinson’s disease, or neuropsychological assessment tools is