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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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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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. Build and organize data as requested by principal investigator or supervisor; use common statistical programs requiring the application of job control language in generating and organizing data. Adapt new
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the State and Local Predoc Mentorship program. This program includes mentorship in how to conduct research and present the results, the ability to take Stanford classes for credit, support in applying to PhD
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engineering principles and strong knowledge of at least programming language, such as Python or R; basic statistical ability. Determine and recommend additional data collection and reporting requirements