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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Challenge: Finding ways to produce tungsten enzymes on an industrial scale
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with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying
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, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health
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detectors while also having flexibility to pursue your own research interests. Research Focus Participate in a detector R&D program aimed at developing superconducting nanowire sensors to enable
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to the ground segment and operations domains, for the procurement and delivery of data systems in support of ESA’s Space Safety Programme, and as a matrix support provider to ESA programmes and mission operations
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to at least the intermediate level of multiple regression Computer literacy with knowledge of at least one statistical software package (e.g., R, Mplus, Stata, SAS) Working collaboratively and effectively with
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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The Adaptive and Intelligent Robotics Lab (AIRL) in the Department of Computing at Imperial College London is seeking a talented Research Associate (post-doc) or Research Assistant (pre-doc) to work
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) Understanding of basic cell culture techniques (media preparation, sterile conditions) Computer literacy is essential for the recording and communication of results Experience of work in sterile conditions