184 parallel-computing-numerical-methods uni jobs at California Institute of Technology
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. Project Support: Assist interns in defining project scopes, setting goals, and developing strategies for successful project execution within the technology and commercial landscape. The internship program
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associated computer software, including Linux and Mestrenova. Good communication skills for interacting with researchers and faculty. Preferred Qualifications Experience or familiarity with macromolecular NMR
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and when to ask for help or clarification. Basic Qualifications • Successful completion of first semester coursework towards a computer science or equivalent undergraduate degree • Familiarity with
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to the public and the wider technical/scientific community via open lectures and the Internet. Under the direction of the KISS Program Manager, the Event Assistant will support KISS workshops and events. This is
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Demonstrated experience in building automation controls and leadership Five years of demonstrated experience in BMS leadership. Demonstrated ability to implement strategies to achieve program goals. Excellent
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meetings and workshops. The NSDS Moving Object Scientist would be expected to maintain an independent research program, ideally making use of NEOS mission data, and be a part of the IPAC scientific community
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the Director of Research Security in the Office of Research Security (ORS) and will assist with the implementation of the Caltech Export Compliance Program for the Institute. The ORS is under the direction
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team has developed novel device characterization and calibration methods to mitigate these sources of systematic errors. Essential Job Duties Analog and digital circuit design for data acquisition
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multiple projects and assignments effectively with minimal supervision. Strong computer skills, including experience with Microsoft 365 and use of protocol application databases. Preferred Qualifications
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a focused research program in Artificial Intelligence (AI) and Mathematics. The primary objective of this program is to harness machine learning tools, with a particular emphasis on reinforcement