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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 43 minutes ago
these architectures through simulation (e.g. ns-3) and hardware test platforms (e.g. Software Defined Radio) will enable critical information for architecture selection of future planetary missions. Field of Science
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systems; - skills in operating multicollector and laser-ablation inductively coupled plasma mass spectrometers as well as working in ultra-clean chemistry laboratory - experience with the GLITTER software
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for predicting mental health outcomes of anxiety, depression and PTSD. There will be potential opportunities for methodological and/or software development and the integration of machine learning into the project
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opportunities for methodological and/or software development, as well as the integration of machine learning into the project, depending on the candidate’s interests. This position is one of three Postdoctoral
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mechanics and quantum information, develop techniques for quantum control and measurement, build quantum computing hardware and software, and explore novel applications. We promote basic research on quantum
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, user-friendly software tools for the community. Publish results in top peer-reviewed journals and conferences. Qualifications Required: Ph.D. (obtained or expected) in a quantitative discipline: Computer
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vacuum, chemistry labs and scanning probe microscopies. Fluent in English, good writing and interpersonal skills. Molecular modelling software and programming knowledge for data acquisition and data
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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, Matlab or LabView Specific Requirements The ideal candidate should possess proficiency in these areas (but it is not required): Experience in designing optical systems - from hardware to software
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(affecting animals, humans, and plants) · General knowledge of urban ecology · Experience with data analysis, particularly using R software · Scientific rigor · Strong organizational