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biomedical informatics projects ● Assist with new project development including literature review, study design. ● Work under general supervision but usually is given the latitude to make decision on projects
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. Participate in the design, implementation, and evaluation of a research project. Prepare and present data to study investigators. Author, co-author, and otherwise collaborate on reports, conference papers and
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. Qualifications Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possesses strong interest in genetics/biomedical applications, and strong computing
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to lead a project related to the transport of bacteria in porous media and multiphase flow. A PhD degree in engineering or earth science is needed. 75% - Conduct laboratory experiments related
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completed by start date). Strong background in biomass conversion, lignin chemistry, or catalysis. Demonstrated experience in laboratory research, including design, execution, and analysis of experiments
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. The incumbent will be responsible for development of gene mapping populations, pathogen inoculation and phenotyping, marker design and genetic mapping, DNA cloning, and functional characterization of candidate
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. The successful candidate will also have scientific curiosity, be highly motivated, be a team player, and have the ability to work and think independently. Job Duties and Responsibilities 80% Research: • Lead, plan
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Duties/Responsibilities: 80% Experimental Research • Development, design, and implementation of experiments related to ongoing projects in the laboratory • Data Analysis and determination of next steps
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and its success is built upon the innovation and drive of every member of our team, from faculty to administrators to technicians. Put simply, all of us are driven to provide the best eye care for our
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of the Minnesota Population Center (MPC), in the Institute for Social Research and Data Innovation (ISRDI), at the University of Minnesota. RESPONSIBILITIES Specific responsibilities include conducting empirical