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of epidemiologic methods, observational study design, cancer outcomes research, population health, and health disparities research. Experience analyzing large secondary datasets, claims data, registry data, EHR data
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modeling and analysis. Ability to select, implement, diagnose, and adapt parameter-estimation or statistical-inference methods to suit the model, data structure, and scientific question. Experience with
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, bioassay development, bioanalytical methods operation. Candidates should demonstrate strong communication skills, a record of independent research productivity, and enthusiasm for working both independently
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project on critical metals from unconventional resources. The project goals are to evaluate the geochemical characteristics of potential feedstocks and develop extraction methods for resources such as rare
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microscopy, optogenetics, or in vivo imaging techniques. Experience with electrophysiological recording methods, including patch-clamp techniques. Programming and data analysis experience using MATLAB, Python
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for dissemination, and plenty of opportunities for career advancement. Responsibilities: Apply implementation science methods into starting and ongoing projects Assist CHeRI PIs with implementation science resources
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norms for mitigating environmental and social impacts from mining and for promoting local benefits. The successful applicant will have training in both qualitative and quantitative methods, including
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Research Scientist in Dr. William Majoros’ team to design and deploy new methods on large-scale datasets (e.g., NIH-funded and consortia resources). You will: Key Responsibilities: Lead and co-lead projects
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MATLAB, Python, R, or related platforms when applicable. Support the development of innovative analytical methods for neurophysiological signal interpretation and epilepsy research. Scientific
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, and/or surgical procedures. Data analysis and quantitative methods using R, Python, MATLAB, or similar platforms. Miniscope imaging acquisition and analysis. Ex vivo imaging of nervous system tissues