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The Earth and Environmental Sciences Area at Lawrence Berkeley National Laboratory (LBNL) seeks a postdoctoral researcher to develop and curate unique and cutting-edge AI-ready data for the U.S
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Posted on Tue, 05/26/2026 - 15:16 Important Info Faculty Sponsor First name: Michael Faculty Sponsor Last Name: Schumacher, PhD Stanford Departments and Centers: Pediatrics, Gastroenterology
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, or biostatistics. Computational skills, including experience with bioinformatic tools and packages, are needed. Experience with data mining, especially for ‘omics’ datasets, or developing pipelines/software
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Qualifications: Applicants should hold a PhD or MD/PhD in cancer biology, molecular and cellular biology, biomedical engineering, bioengineering, or a related field. Strong training and research experience in
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individuals to carry out postdoctoral research on imaging and/or spectroscopy of resolved stellar populations in nearby galaxies using data from a variety of facilities such as the Hubble Space Telescope (HST
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information about our research and the lab. This position is being hired as part of an NSF-funded project in collaboration with Jessica Goodheart at the American Museum of Natural History to study the process
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validation. Synthesize micro-scale parameters into predictive scaling laws, validated against bulk strand burner experiments. Mentor PhD students, publish research in leading peer-reviewed journals, and engage
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, and computational analysis of the resulting data. The position will involve a mixture of experimental and computational work. Opportunities for experimental training, computational training, and career
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administrative data, qualitative and mixed methods, and policy-relevant research questions. We are seeking a PhD or DrPH-trained researcher with expertise or strong interest in health disparities, sociology
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data science. • Artificial intelligence in health or public health • Technology-enabled health and healthcare system transformation • Publish findings in high-impact peer-reviewed journals and present