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Postdoctoral Scholar to join Dr. Han Li's laboratory of Metabolic Engineering and Synthetic Biology. This postdoctoral position is available in the area of Integrated Computational-Experimental Enzyme
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evaluating efficient and scalable techniques for systems that process and answer such queries (e.g., query optimization algorithms, adaptive query processing approaches). Conducting this research work includes
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central experimental role in the project and work closely with a dedicated postdoc supporting advanced computational analysis and interpretation of data. The position offers substantial scientific
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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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the EU Research Framework Programme? Other EU programme Reference Number CPP2024-011387 MICIU/AEI/10.13039/501100011033/ FEDER, UE Is the Job related to staff position within a Research Infrastructure? No
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. The postdoc will play a central experimental role in the project and work closely with a dedicated postdoc supporting advanced computational analysis and interpretation of data. The position offers substantial
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, entitled Center for Multi-scale Multi-Omic Human and Non-human Primate Atlas. The primary responsibilities of the postdoctoral associate are to independently conduct experiments and optimize various
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in engineering or a field related to the project; • Knowledge and proven expertise in computational optimization methods and discrete-event simulation, with experience in regular service design