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a one-year position. Duties/Responsibilities Research & Analysis (90%) Conduct independent research focused on integrating robust machine learning and statistical approaches with acoustic data
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, the candidate will develop structural MS approaches (HDX-MS, mass photometry, native MS and cross-linking MS) for the characterization of mulitprotein complexes. The goal is to provide conformational and
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, machine learning engineers, and clinical collaborators to design, implement, and validate innovative algorithms. Conducts exploratory data analysis to extract meaningful insights from complex datasets
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with research data collection, processing, analysis, and visualization SKILLS and ABILITIES Strong written and verbal communication skills Intermediate proficiency in Microsoft Office Suite High level of
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independent accident investigation and analysis services, particularly for accidents suggesting new phenomena or complex technologies. Texas A&M Engineering provides an outstanding benefits package including
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complex functions. By equipping immune cells with new generations of synthetic receptors, we develop and evaluate strategies to enhance their ability to recognize, seek out, and eliminate malignant cells
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relevant for data manipulation and analysis including experience with creating and using complex models in Simulink & scripting in Matlab, Python, R. A successful candidate must model Argonne’s Core Values
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
one of the largest and most complex departments on campus. For FY25, Epidemiology was 5th among all departments and centers across campus in research funding at UNC Chapel Hill. The department has 38
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supporting plant breeding programs at the University of Florida and the USDA-ARS funded Breeding Insight program by identifying and implementing solutions related to experimental design, statistical analysis
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forward, and strengthen their academic profile. Your primary responsibilities will involve data analysis of existing health records, risk factors, and genetic data, as well as preparing research manuscripts