391 parallel-computing-numerical-methods positions at University of California, San Diego
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Development, Corporate and Foundation Relations (SDOD-CFR) fulfills an important role in UC San Diego's development program. Under the general direction of the Executive Director of Corporate and Foundation
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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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employees in EEG data collection and pre-processing. Solid computer skills using MS Word, Excel, PowerPoint, email system, and a variety of web-based programs. Demonstrated ability to create and maintain
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Curriculum Standards as guidelines. Adapt subject material and methods to develop relevant sequential assignments that guide and challenge students. Establish and maintain an environment conducive to positive
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in use of computer systems and access to any and all patient, student, employee and University data, in electronic and hard copy formats, in compliance with University, state and federal guidelines
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completion of the APRA-H ADAPT program goals. This role will require expertise in bioinformatics, machine learning, systems biology, and project leadership, with a deep understanding of modern cancer biology
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demonstrated by a successful publication record, are preferred. We are looking to select exceptional individuals in the development of bioengineering sciences, methods and instrumentation with: Experience and
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organized, accurate lab records and computer files. Skills and knowledge of computer operations and programs to include data base, Access, Excel and Word. Experience with western blotting. Experience with PCR
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in experimental design and adaptation of methods to achieve results. Demonstrated experience in integrating data from multiple sources to synthesize conclusions. Knowledge and ability to read and
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, research methods, and scientific principles. Ability to take direction, be detail-oriented and follow step-wise instruction. Demonstrated ability to work independently or collaboratively on a research