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SPSS and R, and proficient in graphical-user interfaced software (e.g. Qualtrics, Verint, Google forms, Microsoft Office suite) We regret to inform that only shortlisted candidates will be notified
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record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in programming languages/software such as MATLAB, Python, R, Stata, as well as GIS
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the implementation of models in e.g. Excel, Stata, Matlab, R, Python, or SAS. To be considered for the position, students should have achieved top grades (10 or 12, or international equivalent) in most relevant
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Instructor meetings when requested. Voice training and/or experience is required in at least three of the following styles: Rock, Jazz, Pop, Country, Bluegrass, Folk, R&B, Gospel, and Broadway. Successful
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Python or R is preferred. Ability to analyze multi-omic data, including microbiome data, would be an advantage. Ability to build algorithms and data pipelines would be ideal. Create a Job Match for Similar
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Error ID: 10b1019f Details: Web application could not be started by the Phusion Passenger(R) application server. Please read the Passenger log file (search for the Error ID) to find the details
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. Psychology either with Sport, Performance, or Exercise and Health focus). The role can be offered on an Education and Research (E&R) or Education, Scholarship and Professional Practice (ES&P) contract. An E&R
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/2027) The RKES Directorate provides all the central support to deliver the University’s Research (“R”) and Knowledge Exchange (“KE”) strategies. RKES manages a number of initiatives that support R&KE
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and application includes all relevant certifications and licenses* At least 7 years of experience in Breast Imaging – required ARRT (R) (M) Certification – required CRT (R) (M) Mammography License
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) surveillance. Analyze large-scale data and summarize findings using statistical software (SAS, Python, R, and/or similar programs). Improve standardization, utility, and public health potential of data systems