10 data-"https:"-"https:"-"https:"-"https:"-"CIDMA" research jobs at University of Florida
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assignment will be research and development, particularly of the Math Matrix, The Data Lagoon, and NSF-funded Practice-Driven PD Grant. There will also be some expectation for evaluation and dissemination. In
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setup, staining, acquisition, and preliminary analysis • Inventory, ordering, and basic equipment maintenance • Compliance support, IACUC and biosafety documentation, data entry into shared trackers
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-specific irrigation and fertilization recommendations; 3) integrate sensor-based monitoring systems for water table control and soil moisture management; 4) design data-driven decision support tools
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skills in data analysis, scientific writing, and communication Ability to work independently and collaboratively within a research team Willingness to relocate or commute to Gainesville, Florida Job
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growth. Fellows are exposed to high- level strategic planning and other health system functions, including finance, budgeting, operations, facilities management, data analysis, information technology
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Classification Title: Postdoctoral Research Associate – Virtual Reality and Educational Innovation Classification Minimum Requirements: Doctoral degree in Computer Science, Human–Computer
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or assigned. Specific responsibilities include: Protein expression and purification; ELISA; cell culture; and data analysis and interpretation. Compiles experimental data into reports, providing interpretation
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supplies, etc.) Grant/Manuscript writing Cloning, cell culture, ELISAs, protein expression and purification, and data analysis and interpretation Expected Salary: Commensurate with experience. Required
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mentorship, professional growth, and preparation for both academic and industry career paths. Background Information The University of Florida is a Land-Grant, Sea-Grant, and Space-Grant institution
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and structure modeling for protein, RNA, or small molecule. Apply computational techniques, data analysis, and visualization methods for ongoing studies. Train and validate large deep learning models