62 linked-data-"https:"-"https:"-"https:"-"Embry-Riddle-Aeronautical-University" positions at University of Twente
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Vacancies Postdoc position on Federated/Continual Learning for Time-Series IoT Data (TRUMAN Project) Key takeaways In this role, you will address the intricate challenge of enabling AI to learn
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datasets. Developing reusable, scalable teaching assets for mechanics and material-interaction courses. Helping students understand the link between materials, surfaces, and experienced performance. Building
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the long-term behaviour of mechanical systems. You will contribute to fostering a link between research and education and attract BSc and MSc students by implementation of results from research. Your
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-traced models of the structures, based on STL files, 3-D voxel data and other input. You work closely with the rest of the team to integrate your models with the microscope hardware and GUI, with advanced
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wind-tunnel-based research and research infrastructure, and in shaping the future vision for experimental aerodynamic and aeronautics research within TFE. You will contribute to fostering a link between
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profound. Information and application Your application, accompanied by an up-to-date CV and cover letter, can be sent via the link below. A reference check or an assessment can be part of the procedure
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support systems, specifically simulation games and geospatial digital twins. These systems use detailed representations of a real-world environment and its processes by linking to a myriad of data and
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data applications and the theoretical analysis of machine learning methods. A list of members of the statistics group can be found here . The Statistics group is embedded within a larger data science
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on the topic of model-based testing. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before June 1 2026, and include: A Curriculum
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flow. You will then assess the method’s validity under real atmospheric conditions using a combination of LiDAR data and Large Eddy Simulation (LES) results. Key Responsibilities: Develop and refine