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Previous Job Job Title Post-Doctoral Associate in AI for Genetics Next Job Apply for Job Job ID 368882 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job
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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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sampling), biogeochemical/physical process-based model, advanced AI algorithms, and top-down atmospheric inversions. Tasks Include: Developing AI-ready benchmark datasets to aid in the AI algorithms
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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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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The participant will be involved in molecular genetics, physiology, and breeding that will encompass turfgrass responses
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, cell and in vivo approaches including genetic engineering and gene editing. Qualifications Required Qualifications: Required Qualifications: Ph.D. in biochemistry, genetics, molecular biology, physiology
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, and implementation of experiments to study muscular dystrophy and genetic cardiomyopathies · Analysis of data for presentations and publications · Review relevant manuscripts 15% Scientific
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of Biochemistry, Molecular Biology, and Biophysics (BMBB) and the Department of Genetics, Cell Biology and Development (GCD). Salary will be according to NIH scale. For more information, please visit our lab
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(can be concurrent with PhD) Preferred Qualifications: • Experience and expertise relevant to neuroscience, musculoskeletal biology, pain research or genetics/epigenetics/transcriptomics. • Experience
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, perennial rye breeding research programs to increase understanding of the genetic and environmental factors that affect its growth, persistence, grain yield, and end-use quality attributes Population