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multidisciplinary audiences. QUALIFICATIONS Required: Doctoral degree (PhD) in Epidemiology, Environmental Health, Biostatistics, Child Development, Public Health, or a closely related discipline Demonstrated
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QUALIFICATIONS Knowledge of qualitative and mixed-method research design and analysis, research ethics and IRB procedures, and disability, rehabilitation, or physical activity research. Ability to
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on AI-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed and efficiency of life sciences
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University, a community of labs examining brain, mental, and physical health across the lifespan. MINIMUM QUALIFICATIONS Phd in Cognitive Neuroscience, Developmental Psychology, Psychology, or related
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are related to AI and the life sciences. These may include applications of neural networks to the analysis of multi-omic data, models for predicting phenotypes using genotype data, biological data
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, presentations, and reports to the funding agency. Minimum Qualifications Required PhD in microbiology, biochemistry, chemical engineering, or a related field. Demonstrated publication record of scientific
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-year experiential program designed to advance lifelong learning and the education and training of PharmD/MPH/PhD graduates. A key element of the program’s success is preparing Fellows to meet evolving
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experiments, collecting data, analyzing and writing papers for publication ● Pursuing independent research projects in conjunction with the focus of the labs Qualifications ● PhD in a field falling
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opportunity for collaboration with other faculty and researchers of the Center. Responsibilities: This postdoctoral position will involve leading independent research, as well as conducting analysis of
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, statistical analysis plans, and study reports Contribute actively to the development and launch of RWE/HEOR strategies within the team Support development of global value dossiers, health technology assessment