647 parallel-computing-numerical-methods positions at University of Florida in United States
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). The successful candidate will work within the UF Strawberry Breeding Program to conduct genetics research and translate discoveries into technologies and methods for improving the breeding process. This will
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. The program will use both traditional and advanced methods for improving quality traits, abiotic and biotic stress (disease/insect) resistance and improving aesthetic quality of crops through consumer-friendly
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dislocation once approved to perform or carbon dioxide with approved alternate secondary method. Observes, documents, and reports changes in environmental parameters outside acceptable ranges, e.g. temperature
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preferences for horticultural goods and services. Support the design of computer-based choice experiments simulating shopping tasks. Assist with coordinating data collection for eye tracking and behavioral
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program, and encompasses 16 on-campus academic departments and schools, 12 Research and Educational Centers (REC) located throughout the state, 6 Research sites/demonstration units administered by RECs
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software and hardware. Works with SASC colleagues to use archival theory and computational thinking to brainstorm and experiment with creative approaches to appraising, managing, and preserving born-digital
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primary transcription and other related functions for the Oral & Maxillofacial Pathology Services. These functions include input of biopsy report daily into a specialized computer program, process final
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units to review program budget and future forecast Provide detailed analysis and recommendations to improve financial planning and resource allocation Stewardship of Funds Manage multiple funding streams
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for the College responsible for developing and executing the fundraising program to fulfill the financial needs as identified by the Assistant Vice President of Development and the Dean of the College and in
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data analysis and visualization. The faculty member’s research program is expected to develop and incorporate novel algorithms and frameworks, such as deep learning, parallel and distributed computing