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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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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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other programming language, and fluent verbal and written communication skills in English are also required. Applicants must be authorized to work in the U.S. We are unable to sponsor or take over
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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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with optimization techniques and accelerated computing are a plus for this position. Strong written and spoken English skills are required. The successful candidate will: (1) develop novel methodologies
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system, natural language processing, and cognitive science. Specifically, the position is for the newly funded project iCODE: Adaptive Training of Students’ Code Comprehension Processes whose goal is to
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modeling. The work will focus on application of state-of-the-art Data Mining/Natural Language Processing techniques for information from published literature, development of classical machine-learning models
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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