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Materials: Please send your application materials to Adina Fischer, MD, PhD at adinaf@stanford.edu (link sends e-mail) . Does this position pay above the required minimum?: No. The expected base pay for
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of scientific colleagues and students for collaboration. Required Qualifications: A PhD in one of the following: Epidemiology, Biomedical Informatics, Biostatistics, Public Health, Computer Science
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team — we want to hear from you. Required Qualifications: A PhD in a quantitative field with a strong programming and statistics background Experience analyzing large datasets; familiarity with cloud
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and non-scientific audiences. Contribute to writing research papers and grant proposals. Train and mentor students and research assistants as needed. Required Qualifications: PhD in Neuroscience
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transmission modeling, statistical modeling, spatial data analysis, and cost-effectiveness analysis. In parallel, we conduct research on vaccine-preventable infections, developing and evaluating predictive
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blockade (Phillips, Matusiak, et al, Nature Communications, 2021). We do research at the forefront of spatial biology and offer training in immunology, human histology, statistics, computer vision, grant
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other statistics), converting the trained algorithm into a useful tool (web application or dashboard), and generating visualizations. Our T32 program also provides tuition support to obtain Stanford
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disciplines such as physics, statistics or math. Have acquired machine learning, generative AI and computer science. Welcome either wet or dry background or both. Be highly creative, rigorous, collegial and a
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behind these processes, we aim to develop interventions that delay the progression of Alzheimer's-related dementia and promote successful aging. Required Qualifications: PhD in Cognitive Neuroscience
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong