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conduct research on developing and using machine learned parameterizations for mixing in the ocean surface boundary layer. Our previous work has demonstrated the utility of using neural networks to improve
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conduct research on developing and using machine learned parameterizations for mixing in the ocean surface boundary layer. Our previous work has demonstrated the utility of using neural networks to improve
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maintenance of control and monitoring system - 15%. Develop design documentation and procedures for systems developed -10%. Qualifications Education and Experience: Bachelorâ™s Degree in Electrical, Computer or
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skills, both oral and written. First Aid, AED, and CPR certification within four months of hire. Functional computer skills. Excellent organizational skills. Demonstrated leadership skills and the ability
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for these different architectures. The intern will learn and program the basic algorithms of PIC in Python or a compiler level language such as C/C++. They will then run this code on advanced computer chips available
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) - Willingness to learn new skills and enthusiastically take on new projects and responsibilities - Attention to detail, high level of self-motivation, and ability to work independently - Strong interpersonal and
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¨ lab, as part of the Princeton Human-Computer Interaction (HCI) group, we build and study novel interactions and intelligent interfaces that are situated in the physical world, extend our abilities, and
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aeronautics, power industry, military experience, vehicle design, etc. Knowledge, Skills and Abilities: Ability to work with a diverse array of individuals, from maintenance crews to research collaborators is
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¨ lab, as part of the Princeton Human-Computer Interaction (HCI) group, we build and study novel interactions and intelligent interfaces that are situated in the physical world, extend our abilities, and
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recognition using deep learning and custom Python scripts. ● Operating fluorescence microscopes (light-sheet, epi-fluorescence/slide scanner) ● Computer-based volumetric reconstruction of whole brain images