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care tasks such as planting, pruning, weeding, watering, mulching, and mowing operations; leading invasive plant and weed management practices including mechanical, chemical, and other control methods
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statistical and computational tools • Present findings at lab meetings and scientific conferences; contribute to collaborative research discussions • Prepare figures, methods, and manuscripts for publication in
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), Honors Program, Project Information Literacy (PIL), Inter-College Program (ICP) major, bachelor of individualized studies (BIS), and individually designed interdepartmental major (IDIM) programs
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. Publish research findings in peer reviewed journals. Pursue your own research interests within the broader theme of the position. Data Acquisition Methods and Practice (40%) Support staff involved in infant
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findings at lab meetings and scientific conferences; contribute to collaborative research discussions • Prepare figures, methods, and manuscripts for publications • Mentor junior trainees and contribute
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processes that underlie education and human development across the lifespan, including: the psychological foundations of education, quantitative methods in education, the practice and science of counseling
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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
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training program. The University of Minnesota is committed to fostering local talent through employment opportunities. While this position utilizes a hybrid work modality, prospective applicants must be
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Qualifications: BA/BS degree, or a combination of education and relevant work experience to equal at least four years. Computer proficiency in a PC environment. Demonstrated organizational, planning and problem
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) and developing meaningful scaled score formulas and metrics. The post-doctoral associate will support multiple aspects of this work, including conceptualization and design of the scale scores, computing