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a strong background in statistical analysis and data-driven modeling applied to large astronomical datasets and time-domain surveys. Expertise in programming languages such as Python, R and C
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data analysis (e.g., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB
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statistical methodologies, drafting research papers and manuscripts for publication and presentation, coordinating meetings with external collaborators, and assisting in the preparation of proposals to obtain
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scientific writing. Proficiency in statistical software (e.g., R, SPSS, Python) and survey tools (e.g., Qualtrics). Ability to work independently and collaboratively in a research setting. Record of peer
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field by the time of hire is required, along with a strong theoretical or practical background in coral physiology, isotope biogeochemistry, image analysis, univariate and multivariate statistics, and
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time of hire is required, along with a strong theoretical or practical background in statistical mechanics, quantum dynamics, or Machine Learning. Demonstrated experience operating and maintaining a
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display data for presentation in research conferences and for manuscript preparation; use graphics and statistical software to analyze and present data. 10% Supervise graduate students and other personnel
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contribute to protocol development, statistical analysis plans, and preparation of regulatory submissions that uphold the highest standards of scientific rigor. Collaboration is a defining aspect of this role
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requirements. Required Qualifications Ph.D. in Electrical and Computer Engineering, Computer Science Engineering, Biomedical Engineering, Integrated Systems Engineering, Mathematics, Statistics, or equivalent
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or experience in health psychology. Desired Skills Research methods/design Basic statistical analyses Cognitive-behavioral therapy knowledge or experience Acceptance and commitment therapy knowledge or experience