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work is studying how undergraduate STEM courses can be tailored to meet the needs of all learners. Current projects involve studying STEM instructor perceptions of student-centered learning as
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KTH’s core values as a university and public authority. Learn more about our benefits and what it's like to work and grow at KTH. Trade union representatives Contact information to trade union
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support machine learning applications for analyzing electron microscopy images of nanoalloys. Model interactions between nanoalloys and carbon substrates to reflect experimental conditions, incorporating
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Hospital, Copenhagen). The successful candidate will be responsible for designing and implementing the predictive modeling strategy of the project. This includes: Developing machine-learning prediction
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28 Jan 2026 Job Information Organisation/Company Institut de Robòtica e Informàtica Industrial CSIC-UPC Department Robotics Group Research Field Computer science » Other Researcher Profile
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Feb-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Internal Number: 1114607
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onderwijs – tto) schools with a linguistically diverse student population. We will investigate how inequalities can be reduced and learning can be promoted through Functional Multilingual Assessment (FMA): a
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
skills Specific Requirements The candidate must hold a PhD in machine learning and have strong mathematical skills. Knowledge of bandit models is a plus. LanguagesFRENCHLevelBasic LanguagesENGLISHLevelGood
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/ experience with e-learning (optional) Experience in participating in research projects (optional) What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time
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for real-world problems in urban mobility, transportation management, and autonomous driving. Core research themes include generative AI, multimodal learning, robust data analytics, and interpretable