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Excellence (OhioRISE) evaluation sponsored by the Ohio Department of Medicaid. Responsibilities of this position include: statistical analysis and reporting of multi-source data including administrative and
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funded by BBSRC. This innovative project will investigate visual influences on the rodent amygdala in both mice and Rhabdomys, integrating behavioural, neuronal, and anatomical levels of analysis
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outcomes such as disease severity, viral load, and hospitalization. The project integrates immunology, virology, and quantitative analysis to understand mechanisms of antibody-mediated protection and support
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skills in statistical analysis, as well as expertise in research methodology including epidemiological and health services research methodology. The position has extensive scope for independent judgment in
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community through best-in-class technological and physical infrastructure, proactive assessment and analysis, and a caring team of professionals dedicated to upholding the university’s values with the highest
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, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu/notice-nondiscrimination/ . Minimum Required Qualifications Master’s degree plus
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description: teaching related to quantitative methodology (Courses taught: quantitative practice, introduction to quantitative data analysis, data analysis in SPSS, Statistics and SPSS) Where to apply E-mail
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practice, introduction to quantitative data analysis, data analysis in SPSS, Statistics and SPSS. Where to apply E-mail kariera@fsv.cuni.cz Requirements Specific Requirements Requirements: Ph.D. degree
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strategies, moving from linear models (regression, mixed models) towards neural network architectures, with comparative analysis of performance gains and interpretability. • Integration of the developed
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of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database