114 parallel-computing-numerical-methods research jobs at University of Minnesota in United States
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research findings in peer reviewed journals. Pursue your own research interests within the broader theme of the position. Data Acquisition Methods and Practice (40%) Support staff involved in neuroimaging
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assigned allegation using the research methods and template taught in the training program Synthesize the research and enter it into the coding tool for the allegation and upload research sources and
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of Minnesota is seeking a highly motivated Postdoctoral Researcher to join a dynamic team focused on developing intelligent neurotechnologies for translational medicine. The lab specializes in computational
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of the analysis methods Advise the PI on the integration of statistical analysis into the manuscript(s) Other duties to be assigned (10%) Participating in other lab activities, such as the weekly lab meeting
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teaching methods to science or mathematics teaching at the college level • Masters in a science (e.g., biology, chemistry, chemical engineering, physics) or mathematics field or equivalent • Experience with
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of scientific research. Provide support to laboratory members and collaborators regarding study design, fixation methods, orientation and embedding methods, and special stains appropriate to the goals
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protocols carefully, with attention to detail and a high level of accuracy. ● Strong organizational skills and ability to document experimental methods and results effectively and accurately. ● Willingness
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experimental and computational methods for integrated multi-omics studies. About the Role · Lead independent research projects investigating somatic mosaicism in various tissue types of human or mouse models
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prospect research information to help advance the University’s development program on the Prospect Development team. Prospect Development is a strategic department at UMF, focusing on providing research
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biomedical doctoral degree upon program completion. Its principal objective is to elevate participants' research proficiencies and academic competitiveness, addressing the urgent call for diverse investigators