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environments Experience with: structured design, development, and implementation of new computing architectures a variety of data sources (SAP, exposure to dashboards, OLAP and data mining tools, SQL, Oracle
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, multilevel modeling, data mining, survey methodology and Bayesian influences. (Required) Ability to conduct power calculations to determine sample size needed to answer research questions. (Required
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analytics and/or education data mining Candidates with related expertise, such as econometrics, causal inference, experimental and quasi-experimental design and analysis, and methods for handling missing data
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Central Institute for Labour Protection - National Research Institute (CIOP-PIB) | Poland | 17 days ago
2 Apr 2026 Job Information Organisation/Company Central Institute for Labour Protection - National Research Institute (CIOP-PIB) Department Department of Chemical, Biological and Aerosol Hazards
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with specializations in data science and actuarial science. More information about the department is available at https://www.sdsmt.edu/academics/academic-departments/mathematics/ . South Dakota Mines is
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system performance. Mine various data resources for development of key metrics, calibration targets, and general data useful for planning and research study design. Perform error analysis and model
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@gfz-potsdam.de Website https://gfz.concludis.de/prj/shw/9ff2d68a234ace2643d46c35b9002ab3_0/11046/Wisse… Requirements Additional Information Website for additional job details https://gfz.concludis.de
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by the ASUN Senate to this position. Please refer to http://www.nevadaasun.com/documents/ for more information. Exempt No Full-Time Equivalent 0.0% Required Attachment(s) Please note, once you submit
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-supported courses. Classified Employee Family Opportunity Program Department Information https://www.unr.edu/provost Exempt No Full-Time Equivalent 100.0% Required Attachment(s) Please note, once you submit
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, computer engineering, information management, logic and automated reasoning, machine learning and optimisation, and text mining) and in several interdisciplinary fields (e.g nanotechnology, bioinformatics