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. The ideal candidate will enhance our biostatistical core and complement or deepen our current department strengths, including, but not limited to: Bayesian methods, big data, causal inference, clinical trials
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. The ideal candidate will enhance our biostatistical core and complement or deepen our current department strengths, including, but not limited to: Bayesian methods, big data, causal inference, clinical trials
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or deepen our current department strengths, including, but not limited to: Bayesian methods, big data, causal inference, clinical trials, machine learning, mobile health data, real world evidence, survival
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or deepen our current department strengths, including, but not limited to: Bayesian methods, big data, causal inference, clinical trials, machine learning, mobile health data, real world evidence, survival
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or deepen our current department strengths, including, but not limited to: Bayesian methods, big data, causal inference, clinical trials, machine learning, mobile health data, real world evidence, survival
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Minimum Education and Experience: The successful candidate must have a PhD, MD, MD/PhD or equivalent doctoral degree as well as a research program with currently active federal funding addressing key
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procedures and propose new methods or improvements. Contribute to the development of research methodologies and selection of instrumentation for metabolic studies. Present research findings at national
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, composure, and stability under pressure. Ability to participate in the occupational health program for animal workers. Preferred Qualifications USDA accreditation. PhD or Masters in the field of biomedical
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the occupational health program for animal workers. Preferred Qualifications USDA accreditation. PhD or Masters in the field of biomedical research. Equipment Utilized Surgical equipment such as anesthetic machines
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. Successful candidates may come from any relevant discipline. All requirements for the PhD or other terminal degree in the relevant field must be completed by August 1, 2022. A record of publication and