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program exploring drivers and seasonality of WNV in a multi-species system. They will write code, use models and other quantitative or statistical analyses within life science, biological, or health
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the start date of the appointment. Demonstrated expertise in quantitative data analysis, including advanced statistical modeling (e.g., mixed-effects models, longitudinal analyses, mediation/moderation
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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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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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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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in health psychology. Desired Skills Research methods/design Basic statistical analyses Cognitive-behavioral therapy knowledge or experience Acceptance and commitment therapy knowledge or experience
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skills, data analysis proficiency, and statistical expertise, coupled with exceptional written and verbal communication skills. Successful candidates will have a proven ability to collaborate effectively
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learning (ML) methods along with other classical computational and statistical tools. Experience of deploying ML workflows at scale on high-performance computing clusters. Extensive biomedical and health