9 phd-data-analytics Postdoctoral positions at University of Minnesota in United-State
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reviewed journals Communicate and present analytical results to researchers, faculty, and other academic professionals in associated fields of expertise (spoken presentations, poster or written work
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% Research Conduct research related to specific externally funded projects, including collecting and analyzing data, troubleshooting challenges, and assisting graduate and undergraduate students on the project
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at national/international scientific meetings. 15%: You will also be expected to assist with research grant submissions (NIIH, AHA, industry, etc.) Detailed documentation of analytical procedures and data is
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analytical instrumentation including liquid chromatography and gas chromatography mass spectrometry systems. Data processing, data analysis, and/or modeling (30% time): Application of computational and
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Qualifications: PhD in Transportation Engineering, Civil Engineering, or a closely related field Preferred Qualifications: Strong modeling and analytical skills in transportation engineering Strong knowledge
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reports and present seminars; and (5) prepare manuscripts for submission to peer-reviewed scientific journals. Job Duties: 30% Developing and implementing elastography-based data analytics to reconstruct
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to engineering specialized metabolite biosynthetic pathways. Essential Duties 40% molecular biology, gene-editing in streptomyces 40% analytical chemistry to characterize mutants 20% writing and communication
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plastics. Perform routine analytical procedures to characterize polymer modification and degradation. 20% Study community dynamics of various microbial strains that have been found to degrade plastics and
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, and neuroscience, and access to advanced resources such as imaging cores, iPSC-derived systems, and AI-driven tissue analytics. Responsibilities: • Design and Execute Experiments Using Mouse Models