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Experience in applied statistics and programming languages commonly used for data manipulation and computational statistics (such as SPSS, R, Python, etc), and with SQL. Experience in applied statistics and programming languages commonly used for data manipulation and computational statistics (such as SPSS, R, Python, etc), and with SQL.
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Strong understanding on 'SPSS Modeler' ETL tool and snowflake data warehouse. Strong understanding on 'SPSS Modeler' ETL tool and snowflake data warehouse. Subject Matter Expert on master data management, analysis and quality.
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Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc). Our direct client has a new opening for Data Analyst 120676 This position is 12 months, with the option of extension, and is in Augusta, Maine.
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Experience using statistical software (e.g., Excel, SAS, SPSS, R, etc. For this role, Cadmus seeks candidates with professional experience in program evaluation, social science research methods, and/or energy efficiency or sustainability.
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Experience conducting social science research, including interviews, surveys, focus groups, and/or literature reviews. Experience with survey programming and/or analysis using such programs as Qualtrics, Survey Reporter, or DeDoose.
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Provide support to manufacturing programs for MRBs, QEMs, SPRs and SPSs ( Materials Review Board; Quality Event Management; System Performance Review; Significant Process Substantiation ) In-depth understanding of engineering technology and tools such as Ansys, Siemens NX, Finite Element Analysis and Geometric Dimensioning & Tolerancing.
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Experience using statistical analysis packages such as SPSS, R, Stata, MaxQDA, InVivo. Master's degree in psychology, sociology, child development, education, social work, data science, other social or behavioral science, or a related field and 2 years applied research or program evaluation experience.
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Preferred experience with statistical software such as SAS, R, SPSS (or similar) and/or bioinformatics tools such as SEQL, PYTHON (or similar). The Staff Scientist will work closely with the Principal Investigator (PI) of the Total Cancer Care (TCC) protocol and leaders of the non-therapeutic research office (NTRO) in the oversight of the operational implementation of the TCC protocol (TCCP), Moffitt’s institutional biorepository protocol, and other large institutional efforts to support nontherapeutic research.
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Experience with NumPy, scikit-learn, keras, PyTorch, Tensorflow, Pandas, SymPy, SPSS, PSPP, SymPy, SAS, JMP. Experience with NumPy, scikit-learn, keras, PyTorch, Tensorflow, Pandas, SymPy, SPSS, PSPP, SymPy, SAS, JMP.
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Programming experience with MATLAB, R, SQL. Experience with Excel VBA. Mount Indie is looking for a Sr. Modeling & Simulation Analyst to join a team supporting mission-level combat modeling out of Peterson Space Force Base in Colorado Springs, CO.
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Proven experience in JIRA, Resilix, SPSS, Aetion, EndNote, Tableau, Qualtrics, REDCap, SAS and ExpressScribe. They will understand requirements of specific vertical markets (Medical Device, Pharmaceutical, Biotech, and Blood Services), horizontal markets (high end, mid-market, low end users), and they will have knowledge of QMS modules.
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Knowledge of medical terminology, research policies and guidelines, guidelines for packing/shipping infectious substances, database building/analysis, and data management within some of the following: Access, Stata, SASS/ SPSS, and Teleform programming platforms.
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In-depth knowledge of PC and mainframe statistical programs, such as SAS, EViews, SPSS, and STATA, to organize data into files and to perform advanced statistical and econometric analyses. Master's degree in economics, city planning, community development, statistics, or another quantitative social science discipline required.
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Advanced or Expert skills in one or more of the following: Excel, Power BI, SAS, SPSS, R, SQL, Python. Advanced or Expert skills in one or more of the following: Excel, Power BI, SAS, SPSS, R, SQL, Python.
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Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS. Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS.
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