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technologies and methodologies, and Geographic Information Systems software (e.g., ArcGIS, QGIS), Python, and Matlab is required. Knowledge of other programming languages (e.g., C, C++, R, Javascript) is
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as well as have the opportunity to participate in future grant proposal development as part of the post doc mentoring plan. Application Materials A cover letter with a brief summary of research
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. Knowledge of programming languages (e.g., C, C++, Python, R, Matlab) is preferred. Primary Responsibilities: The successful candidate(s) will be expected to carry out research under minimal supervision
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will be given to candidates in functional analysis, especially those whose research programs and interests are compatible with current U of M faculty in the area of analysis and their applications
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, instructional designs, and supporting tools (including applications of AI) to enhance learner outcomes in the acquisition of beginning-to-advanced computer programming and software development skills. The post
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analytics. Candidates are expected to have a program of research in business, technology, and/or related areas. The research fellow will partner with FCBE faculty, the FISC Center of Research Excellence, and
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postdoctoral research fellow position in workforce analytics. Candidates are expected to have a program of research in human resources, diversity and inclusion, workforce development, or related areas with
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portfolio. · Apply knowledge and experience in research design, intervention development, and analytic methods to program development. · Teach one to two public health courses each semester as per the SPH
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to work independently and with modest scientific mentoring from the inventor to achieve program goals. Fellows will also participate in entrepreneurship and start-up training provided by innovation partner
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economics or related business or quantitative field. Candidates are expected to have started a program of research and demonstrate excellent communication skills and research capabilities. Special Conditions