14 phd-data-analytics-"https:"-"UCL" Postdoctoral positions at University of Minnesota
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developing cutting edge analytic tools for studying the genome transformation and genomic activities. 70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms
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working with Dr. Chen in regard to other projects. 15%: You will also be expected to assist with research grant submissions. Detailed documentation of analytical procedures and data is expected. You are
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statistical data for analytical purposes and judging the validity of the data). Job Duties Preparation of research manuscripts (original manuscripts with research data or reviews) and research reports related
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The core of this research lies in the “science of science”—using large-scale data from scientific articles, patents, and grants to characterize the dynamics of research and innovation. A central
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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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- Engineering resides within the College of Science & Engineering. More information about the department can be found at https://cse.umn.edu/cege Pay and Benefits Pay Range: $61,008 to $62,838; depending
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& Engineering. More information about the department can be found at https://cse.umn.edu/cege Pay and Benefits Fixed Pay Rate: $61,008 annually Please visit the Benefits for Postdoctoral Candidates website
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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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to outreach activities that support the department’s mission. Qualifications Required Qualifications: PhD in the mathematical sciences or a related scientific field. About the Department The School
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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