108 parallel-and-distributed-computing-"Multiple" research jobs at University of Minnesota
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to balance multiple tasks and manage time efficiently to ensure project activities are completed in an organized and efficient manner for incorporation into peer-reviewed publications. Research outcomes
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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
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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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for this position will be detail-oriented to ensure accuracy in data collection and analysis; ethically minded; collaborative with various stakeholders, and adaptable to handle multiple projects and adapt to changing
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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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experience should involve preparing material for specialized analysis including PCR analysis. Experience processing and analyzing tissues. Experience working with laboratory animals. Basic computer skills are
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for recording across multiple cortical/ striatal circuits •Optogenetic and electrical real-time perturbations, including interventions directly related to clinical deep brain stimulation. •Parametric
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expertise to investigators including recommendations for specimen collection, fixation. - Ability to work independently and manage multiple projects simultaneously, meet deadlines, and communicate effectively
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review work and monitor data collection and documentation, such as laboratory notebooks and computer data. 50% effort: This position will supervise and train full-time laboratory staff. In addition
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with GWAS/sequencing data and multiple types of omic/neuroimaging data, as in Mendelian randomization and TWAS. In addition to new methods development and evaluations, the job responsibilities include