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Rasch tables using time calibrations, and documenting and manualizing the algorithms and related products. The post-doctoral associate will be part time, 12-month employee of the University of Minnesota
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. Expected distribution of duties includes: ● Laboratory benchwork: 75% ● Data analysis, writing, and presentations: 25% Qualifications Required Qualifications: ● A PhD degree in Neuroscience or a related
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of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization
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experimental integrity. Analyze large datasets using statistical and geospatial tools to interpret microplastic distribution and biological effects. Prepare technical reports, data visualizations, and
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) to promote nitrogen BMPs and sound nitrogen management in crop production - Secure external funding for research and outreach as relevant Job Duties/Time Distribution: (70%) Analyze current data sets related
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or education Familiarity with Qualtrics and Inquisit for data collection Proficiency with data pipeline management, including cleaning and coding algorithms (e.g., Python) Familiarity with psychometric analyses
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the qualification and testing of electronics for particle physics experiments. Experience in working with distributed research groups and demonstrated ability to manage multiple tasks. About the Department School
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improvement and research 20% Publication and presentation development to distribute research results to the scientific community and other stakeholders 10% Mentor/Supervise graduate and undergraduate students
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with SDI Administrative personnel to manage the CTM Core budget, including purchasing supplies and equipment, and monitoring expenditures. • Coordinates with UMN TP-IAT program including distribution