1,093 proof-checking-postdoc-computer-science-logic positions at University of California, San Diego
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recruiting a scientist to work on the development of artificial intelligence (AI) data-driven weather prediction models. The successful candidate will apply their background and expertise in computational
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-doctoral Resident Training Program is affiliated with the Association of Psychology Postdoctoral and Internship Center (APPIC). CAPS is fully committed to self-examination, peer review, and quality
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the full range of engineering professional design work. Knowledge of computer programs for data acquisition and computer circuit fabrication such a LabVIEW and PSpice. Ability to quickly learn how to use new
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interdisciplinary research at UCSD, and many faculty maintain collaborative relationships with campus units including Neuroscience, Cognitive Science, UCSD's Medical School, Rady School of Management, and the Salk
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PC literacy, including Microsoft Office products. Proven skill in analyzing information to define the problem or objective; identify relevant concerns, patterns or relationships; formulate logical and
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physicians, nurses, and other Radiation Oncology staff. Use multiple computer systems simultaneously. Other duties assigned as needed. Three (3) years of previous related experience in a large complex
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to check work and data for completion and overall accuracy. Experienced use of standard computer systems and applications including Microsoft Office Suite, Adobe, electronic mail, timekeeping systems and web
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commitment to get BART within six (6) months of hire date. Less than 18 months of recent experience in a similar role and setting or a new graduate of an approved radiologic technology program (Rad Tech
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faculty, 168 academic appointees, 331 residents, fellows and postdocs and 480 staff personnel. Under direction and in collaboration with the Principal Investigator (PI), the Staff Research Associate/ Lab
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into practice. SDSC adopts and partners on innovations in industry and academia in the areas of software, hardware, computational and data sciences, and related areas, and translates them into cyberinfrastructure