56 project-assistant Postdoctoral research jobs at University of Minnesota in United States
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to light, flowering requirements/cues, and sod forming abilities along with leading general turfgrass management and seed production research. Position Responsibilities: 60% Research – Design, execute, and
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, or microRNA regulation in cardiovascular research. He/she should be self-motivated in the assigned research projects, should be willing to receive training that enhances the individual's professional
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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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Duties (10%) Attend mandatory center, lab and team meetings. Share feedback and assist other lab members when they are stuck on a project. Collegial conduct towards trainees, staff members and members
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material and personnel support will be provided to the postdoctoral fellow leading this project. This is a unique opportunity to study the signals that generate learning and potentially bridge a longstanding
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extraction and RT-PCR. Prepare samples for next generation sequencing (NGS) and analysis of NGS data. Assist in projects involving bacteria and bacteriophages. Work after hours and on weekends as needed. Use
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design and execution 35 % research 30% presenting and writing about research Other duties of a similar scope as assigned. Qualifications Required Qualifications: Ph.D. in Physics, Applied Physics
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Title: Postdoctoral Associate Manager: Carin Vanderpool Job Description 75% Research The postdoctoral scholar will design and
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in human induced pluripotent stem cells (iPS) to join our team. In this role, you will have the opportunity to contribute to funded research projects focused on dystrophic cardiomyopathy using human
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Preferred Qualifications: • Demonstrated productivity through first-author and collaborative publications in immunology • Strong background in experimental design, statistical data analysis, and data