76 affective-computing-"https:" "https:" "https:" Postdoctoral positions at The Ohio State University in United States
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-dimensional flow cytometry, and murine cancer models. Maintains rigorous documentation, ensures reproducibility, and drives projects toward publication and scientific impact under the mentorship
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of scientific mentor Dr. Liping Yang (https://medicine.osu.edu/find-faculty/non-clinical/molecular-medicine-and-therapeutics/liping-yang ) at the Comprehensive Cancer Center at the Ohio State University. Post
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crystal challenges, mentor students, collaborate across disciplines, and help translate transformative research into real-world impact Required Education: PhD in Physics or Materials Science and Engineering
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water quantity and quality across cascading waterways capturing the impact of storm events and seasonal variations. Field work to collect information on soil properties, sedimentation rates, and
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analysis and Multiphysics Computational modeling of metal alloys using an Integrated Computational Materials Engineering (ICME) approach. Responsibilities: 60% Perform research on the microstructural
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within college athletics. Minimum Qualifications: Doctoral degree in clinical or counseling psychology (Ph.D. Or Psy.D.) from an APA accredited program. The applicant must have verifiable training and
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and lead and support advanced research on West Nile virus (WNV) dynamics, with a primary focus on computational infectious disease modeling and quantitative analyses of field data. They will contribute
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cytometry and cell sorting. Collect, prepare, and analyze research data; keep a detailed notebook summarizing experiments and recording research data; maintain computer database of research data; tabulate and
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. The scholar will perform computational and laboratory-based research to investigate viral deactivation under varying environmental conditions. This position will contribute to data analysis, experimental design
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roles of pathogenic and protective roles of novel B cell subsets in multiple sclerosis and animal models of multiple sclerosis, as well as the impact of biological aging on the pathogenesis and clinical