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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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carry out experiments to understand bacterial physiology and genetics. 15% Publication and Presentation of Data The postdoctoral scholar is expected to communicate their research findings through
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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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biology, genetics, physiology or biomedicine and have a strong track record of, and potential for, success. The applicant should have a keen research interest in cell signaling, calcium dynamics
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with lung-specific genetic diseases. The employer retains the right to change or assign other duties to this position. Focus of Job Responsibilities 70% – Ongoing Research • Design and implementation
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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 induces repair in the retina. The project will integrate mouse models of genetically modified cell death sensors, retinal degeneration and inflammation. Responsibilities: • Design and conduct in vivo
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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