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                Field
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                datasets Experience with IRB submissions and clinical trial coordination is preferred Proficiency in Python, R, or MATLAB for data analysis, and familiarity with cloud platforms (e.g. AWS, GCP) will be 
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                for Science and Technology (RBI-FCT), by the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in 
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                knowledge of programming in R and/or Python. You will be self-motivated with proven organisational and time management skills and have the ability to work within multi-disciplinary teams and independently 
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                ) using SAS/R software such as R • Maintaining documentation of datasets and analyses • Writing up results for academic publications / presentations • Preparing tables and figures • Other duties as assigned 
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                R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation. Procedure Reference: IT137-25- 333 I - Legal 
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                of the Foundation for Science and Technology (RBI-FCT), by the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all 
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                ) Theatre (3) UMSL Police (3) Admin Affairs UMKC Police (2) Adv Educ in General Dentistry (2) Advanced Computing Environment (2) Alumni Affairs & Constituent R (2) Benefits (2) Biology (2) Biology 
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                by a subcommittee consisting of one member of the MVS R&RTC and the MVS Director Graduate Research Study level: Graduate research Student type: Domestic and international students Study stage type 
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                -quarters of the required competencies or clinical hours for certification, whichever is greater. Degrees, Licensure, and/or Certification: Certification in one of the following required: Radiography (R 
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                (descriptive and inferential statistics) Survey design and analysis Software skills: SPSS, R, SAS, Stata, NVivo Interviews Thematic or other types of qualitative analysis Mixed-method integration techniques