91 cloud-computing-"https:"-"https:"-"https:"-"UCL" research jobs at The Ohio State University
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Undergraduate Fellowships Office Program
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scale few others can match. Connections working at The Ohio State University More Jobs from This Employer https://main.hercjobs.org/jobs/22084136/undergraduate-fellowships-office-program-manager Return
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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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knowledge acquired in classes applies to real-word problems in research and outreach. The qualified students may use or learn additional skills such as but not limited to, reading journal articles, computer
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and/or research setting working with patients desired; Computer skills required with experience using Microsoft Office Software applications desired; Must be able to effectively communicate, both face
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procedures to process biological specimens may be desired; computer skill required with knowledge of database software applications desired. FUNCTION/SUBFUNCTION: Research and Scholarship/Clinical Research
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experience is required, 2–4 years of relevant experience is preferred. Proficient computer skills are essential. For patient‑interfacing roles, candidates must have at least one year of total experience
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analysis and Multiphysics Computational modeling of metal alloys using an Integrated Computational Materials Engineering (ICME) approach. Responsibilities: 60% Perform research on the microstructural
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desired; experience in phlebotomy may be desired; experience performing basic laboratory procedures to process biological specimens may be desired; computer skill required with knowledge of database
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and lead and support advanced research on West Nile virus (WNV) dynamics, with a primary focus on computational infectious disease modeling and quantitative analyses of field data. They will contribute