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applications based on the following skillsets. If you do not fullfil all requirements, please still apply (there is room for learning-on-the-job). An engineering degree, preferably, aerospace or mechanical
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health. Successful candidates may have experience in electron or X-ray microscopy, image analysis, AI and machine learning, quantitative data science or computational modelling. They will be able to work
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heterogeneity govern transport dynamics and degradation mechanisms during extended operation. A coupled mechanical–transport framework, accelerated through machine-learning surrogate models trained on multiscale
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, including a mixture of classical and quantum mechanics simulations, cheminformatics and machine learning, as well as collaborative software development, providing expertise for a broad range of future careers
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degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph
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opportunities and work-based learning placements that support student career readiness and workforce integration. Serves as the primary liaison for campus faculty and staff to coordinate classroom accommodations
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recipient submits another application and continues to meet all criteria. Award Varies Scopes College of Education & Human Development, Graduate Scholarships, School of Teaching & Learning Deadline 02/26/2027
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to teach elementary school. Eligibility: Must be a rising sophomore, junior or senior; Must be pursuing a program, certification or degree in the College of Education and Human Development preparing
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College of Education & Human Development, School of Teaching & Learning Deadline 02/26/2027
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of Education & Human Development, School of Teaching & Learning Deadline 02/26/2027