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the use of large administrative data to understand and address inequality. OI has published seminal work on national trends in upward mobility ; racial disparities; the role of neighborhoods, social capital
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for three references. Basic Qualifications: Ph.D. in biology, computational and data analytic skills, experience with spectroscopy, plant function, genetics, genomics, evolutionary biology or related field(s
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in the following: perform data management of claims databases and prepare analytic files to implement causal inference study designs that follow the target trial framework; independently conduct
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quantitative, data-analytic, and writing skills who are eager to apply these abilities to questions in regulatory science, pharmaceutical policy, and the evidentiary basis of medical product regulation
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will work with Dr. Huh to develop an independent research project within the scope of the lab’s research. In addition to carrying out microbiome-analytical research, the successful candidate will be
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to analyze large multi-modal datasets and/or who wish to deploy the next generation of exposome AI models. These positions come with data ready to analyze: the candidate can focus on developing research
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Postdoctoral Fellow. CGA’s mission is to enable and sustain cross-campus, cross-disciplinary spatial analytical capacity that generates impactful and innovative research, supports GIS teaching and training, and
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study design, data collection, analysis, and scientific writing. Strong quantitative analytical skills. Publication record with contributions to peer-reviewed publications beyond dissertation work
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: Proven track record of research excellence, as demonstrated by publications in top peer-reviewed journals. Skills: Strong analytical and problem-solving abilities, excellent communication skills, and the
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systems or autonomous AI frameworks · Solid foundation in computational biology · Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX) · Strong analytical, problem solving, and communication