482 parallel-processing-bioinformatics positions at University of Florida in United States
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equipment inventory and process human subject payments in accordance with fiscal procedures. Expected Salary: $50,000 – $55,000 annually; commensurate with education and experience. As one of the nation’s top
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with students to understand their financial aid needs and develop plans to achieve their goals. Financial Aid Processing Review and process financial aid applications, ensuring accuracy and compliance
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for the protection of research participants. Monitoring the consent process for compliance with protocol specifications and human subjects' protection regulations is a component of the Research Monitoring Program, in
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: Coordinates admission process Respond to general questions regarding the admission process via email, phone and in person. Receives and organizes applicant materials (application forms, GRE scores, letter of
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driving certification process. Complete TIPS training for responsible alcohol service, and ServSafe training for safe food service. Participate in maintaining a clean and safe work environment in all areas
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, but is not limited to, operation of state-of-the-art automated point of-care, chemistry, immunoassay, hematology, urinalysis, and coagulation systems and performing various clinical laboratory assays
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media posts, and other promotional materials. Event Procurement, Finance, and Accounts Payable: Receive, review, and process event invoices, negotiate vendor proposals and quotes, and monitor expenses
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, addressing any issues promptly and ensuring efficient operation. Troubleshoot and resolve problems related to RedCap, web design tools, and presentation software. Expected Salary: $20/hr, commensurate with
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this role, you will assist our coordinators with data entry while learning financial aid processing. Key responsibilities include, but are not limited to: Reviewing and sorting of incoming custodial
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data science tools. Experience with image analysis, computer programming (Python and R), and machine learning frameworks (TensorFlow, PyTorch). Familiarity with spatial omics, bioimaging data processing