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Field
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/scholarship in (multimodal) learning analytics, educational technology, and/or computational social science research Experience with research teams Excellent written and verbal communication skills. Desirable
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world. The Electrical and Computer Engineering Department and NYU Nanolab host a growing interdisciplinary research program in superconducting and semiconductor-based quantum technologies, with strong ties to national
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successful in this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert
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opportunity to work on the extremely timely “TWISST: Terahertz wave induced spin switching technology” project. TWISST aims to develop the scientific understanding needed to create a new generation of magnetic
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of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a
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Research Assistant/Assistant Professor (Postdoctoral Researcher) for the project 2025/57/B/NZ8/03444
Offer Description A PhD degree in agricultural sciences, Earth and environmental sciences, engineering and technical sciences, or a related discipline, in particular in the fields of forestry
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the Department of Architecture, Design, and Media Technology and is part of a larger project involving at least two PhD candidates. [CB1] The candidate’s workplace will be in Aalborg. Your work tasks The
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energy system. Qualified applicants must have: PhD degree in physics, astronomy, engineering, computer science or similar. Experience with finite element modeling, ideally Comsol Multiphysics. Experience
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computational biology, bioinformatics, computer science, electrical engineering, or a related field. 3+ years of experience achieving impactful results including publications using relevant AI/ML/related
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multidisciplinary team of highly skilled scientists and engineers. This is a great opportunity to acquire highly valuable skills in the application of multiple characterization techniques, including MS imaging, NMR