615 parallel-computing-numerical-methods positions at University of Florida in United States
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pursue independent and collaborative research; they also teach in the MS and PhD in Biostatistics programs and support a concentration in Biostatistics as part of the Masters of Public Health program. They
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, creates packs and ensures sterilization. Ensures the sterile packs in rooms are in date and replaced as needed. Performs euthanasia using carbon dioxide with cervical dislocation as a secondary method
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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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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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. 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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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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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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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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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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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