12 web-programmer-developer-"U.S"-"U.S" Fellowship positions at Carnegie Mellon University in United States
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one area relevant to prototyping playful experiences (e.g., programming languages like Python/JavaScript for interactive web/app development, game engines like Unity/Unreal, physical computing platforms
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one area relevant to prototyping playful experiences (e.g., programming languages like Python/JavaScript for interactive web/app development, game engines like Unity/Unreal, physical computing platforms
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Experimental research and with cognitive computational modeling. The fellow will be involved in the design and implementation of interactive web-based experimental studies and the use of existent high-fidelity
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innovative microfluidic technologies. Responsibilities: Designing and conducting experiments to study microbial communities using microfluidic platforms. Developing and optimizing microfluidic devices for high
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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to healthier, cleaner, more efficient future for all. A research collaboration is being funded by the Energy and Environment Solutions (E2S) program of the Universite de Pau et des Pays de l’Adour (UPPA) and
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. This position will require an in depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing
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leadership roles in multiple large sky surveys and consortia, including DES, DESI, HSC, LISA, and Rubin LSST. CMU is also a co-host of LINCC Frameworks which is developing analysis software infrastructure
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depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and