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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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) 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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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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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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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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, 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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(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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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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genetics, and the ability to use R and/or UNIX/command line applications will be given preference. Pay and Benefits Pay Range: $58,656.00 - $61,008.00; depending on education/qualifications/experience Please
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program, focusing on intermediate wheatgrass, perennial rye, and perennial wheat. The candidate will design and implement appropriate breeding strategies, integrating modern genomic approaches where