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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 22 days ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0284-NPP-NOV26-JPL-PlanetSci How to Apply All applications must be submitted in Zintellect Please visit the NASA Postdoctoral Program website for application instructions and requirements: How to Apply | NASA...
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) to work on an EPSRC-funded project developing vapour-deposited perovskite thin films for high-efficiency multijunction solar cells. The successful candidate will engineer novel precursor materials and
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Position Overview School / Campus / College: College of Engineering Organization: Mechanical Engineering Title: Postdoctoral Scholar in Quantum Information and Quantum Matter Position Details
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of Department of Functional Surfaces and Interfaces is thin-film fabrication, with strong expertise in the controlled synthesis, deposition, and engineering of functional thin layers and interfaces. Through its
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in computer science, engineering, biomedical data science, informatics with advantage for experience in conducting research on healthcare data. - Experience in Artificial Intelligence (AI), Machine
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fostering new collaborations Creating initiatives to support and mentor student competition teams Contributing to activities at the interface of research, design, technology, and science communication Working
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of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical
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the perspective of migrant workers’ lived experiences and from the perspective of the finance-technology nexus of platform companies The appointee will play a key role in project implementation and will be expected
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for the benefit of society. Our Mission - TTI delivers practical, innovative and sustainable solutions to improve the movement of people, data and goods through research, education and technology transfer. Our
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backgrounds such as engineering, computer science, statistics, and economics. Familiarity with energy technologies and associated supply chain risk and challenges. Familiarity with the application of statistics