670 parallel-computing-numerical-methods positions at University of Florida in United States
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. Provide weekly staff supervision meetings as required by the program. Ensure staff have materials, training and resources to perform all aspects of their role. Travel to outlying counties as needed
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frameworks (e.g., Nextflow, Snakemake). - Application of AI/ML methods to omics data analysis. - Experience working with LIMS systems, particularly integrating sequencing workflows. Special Instructions
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training may substitute at an equivalent rate for the required experience. Job Description: The UF Surplus PC/AV Shop is the computer and electronic diagnostic facility that is responsible
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, marketing, sales, career development, career counseling, or HR KNOWLEDGE: Knowledge of employment trends, student development, career services, marketing, and outreach strategies SKILLS - Skilled in computer
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administrative support. Renowned for its preservation of historic landmarks and natural beauty, the city boasts numerous parks, museums, and lakes that attract thousands of visitors. With its lush urban forest and
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using automated and/or manual methods. Responsible for all routine quality assurance activities associated with the performance of laboratory and point-of-care testing; includes reporting results and all
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with technology in our computer lab Assist patrons with printing Recording statistics on patron transactions Stack maintenance tasks, including shelving and shelf-reading Duties may include adapting
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of the responsibilities and functions of the Triplett lab research program. Expected Salary: $25-$28/hour Required Qualifications: B.S. degree in the biological sciences, laboratory research experience in molecular biology
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technical support to projects funded through the FCR3 (Florida’s Coral Reef Restoration and Recovery) Initiative Grant Program. This may include reviewing grant work plans and other associated agreement
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Program. They are advisors and mentors to a wide variety of students. Our current faculty members are leaders in artificial intelligence, big data analysis, cancer, genetics, infectious disease modeling and