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/or experience with large-scale data analysis, algorithm development, or computational modeling. Required Qualifications: Doctoral degree in linguistics, cognitive science, psychology, hearing and
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Leinweber Institute for Theoretical Physics (LITP). Potential research topics include: inflationary cosmology and its connection to late-time observables; large-scale structure theory and analysis; cosmic
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pathways in patients with infectious diseases. This project builds on a large body of work implicating IEI in susceptibility to specific infectious (Ciancanelli, et al. Science 2015; Beziat, et al. Cell 2021
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be made better. This is a role for a researcher excited to work with big, messy, real-world data, motivated not just by building models but by improving systems: how clinicians work together, how
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University is seeking a postdoctoral scholar to support and lead innovative research at the intersection of rheumatology, pain science, and data science. The successful candidate will work on a portfolio of
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collection challenges (e.g., technology, logistics, respondent recruitment). Data Management & Analysis Clean and manage large-scale quantitative survey datasets using R (preferred) and Stata or other packages
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technology and b) large-scale data collection in a diverse sample spanning over 250 schools across 30 states to answer three significant questions regarding the mechanisms of word reading difficulties such as
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different disciplines and mentors Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend
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how we decode cancer biology from spatial multi-omics data. This position offers an exceptional opportunity to build next-generation generative models for complex biological systems, working with large
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include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated expertise in Large