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Field
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 20 hours ago
environmental quality. The fellow will contribute to field and laboratory studies, data analysis and modeling, publication of results, and development of decision-support tools for producers, advisors, and agency
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Electrical Engineering. The work will be conducted in collaboration with the Behavioral Neuroscience program in the Psychological Sciences department (Ian Stevenson), the Electrical and Computer Engineering
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate - Center for Healthy Aging Research (CHAR) Department Institute for Health, Health C Salary Details A minimum
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, mineral, or biochemical analysis. •Use analytical equipment (pH meters, CO2 sensors, soil/root/plant sensors, chlorophyll fluorescence, etc.) and process samples using standard laboratory analytical
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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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Posting Close Date 05/31/2026 Qualifications Minimum Education and Experience PhD or MD in biomedical engineering, data science, computational sciences, neurobiology, psychology, epidemiology, cognitive
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. Required Education Appropriate doctoral degree Preferred Qualifications PhD in Neuroscience Prior experience with electrophysiology and/or two-photon microscopy imaging Data analytical skills including
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up experiments • Collect and analyze soil, water, mineral, and wastewater samples • Use analytical equipment or work with data from analytical equipment (e.g., ICP-OES or ICP-MS, XRD, FTIR, EA, EA-IRMS, etc
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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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selected set of applicants and short-listed applicants may be called for an interview. Required Qualifications: PhD in economics, statistics, sociology or related data science fields Strong data analytic