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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com , then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System two-year...
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com , then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System two-year...
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analysis using data software is required (e.g., SAS, STATA, R, etc.). Qualifications: Doctorate degree in Epidemiology (or related field) from an accredited university by the start date required. Knowledge
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., RNASeq). Knowledge, Skills & Abilities: Proficiency with coding using languages such as R and/or Python (or other translatable analytical software), and familiarity with common microbiome software and
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structures in in vitro systems. The structures are called DNA quadruplexes or RNA quadruplexes. The successful candidate will know how to use G-quadruplex prediction software. He/She will also need to have
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metabolomic workflows and bioinformatic pipelines, and software tools used to analyze and interpret large scale, multi-omic datasets will be advantageous. Additional Information: Responsibilities: Perform cell
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-employment Screening Requirements: No Background Check Required This position is subject to pre-employment screening (criminal background, drug testing, and/or education verification). A criminal conviction or
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education verification). A criminal conviction or arrest pending adjudication alone shall not disqualify an applicant except as provided by law. Any criminal history will be evaluated in relationship to job
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: Annual TB Screening, Criminal Background Check This position is subject to pre-employment screening (criminal background, drug testing, and/or education verification). A criminal conviction or arrest
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. • Overseeing graduate students with the input of collected asphalt mixture test data into various pavement softwares including AASHTOWare Pavement ME) and Discrete Element Modeling Regular, reliable, and non