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manuscripts. Findings will be presented within lab meetings and at scientific conferences. The postdoc will also have the opportunity to contribute to biotype methods development, particularly in refining
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data using econometric techniques; designing and implementing randomized controlled trials. Experience in quantitative methods including prior coding experience (e.g., in STATA or R) and/or in
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substitution in the EGFRvIII peptide significantly increases survival in an animal model of glioblastoma by enhancing proteasomal processing. We also developed robust methods to detect a new class of non
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ability in a diverse sample of children with dyslexia and typical readers. Scientific reproducibility and transparency: Our team has a long history of developing open-source software to support rigorous
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will have: A PhD, MD, or MD/PhD in vascular biology or a related field A strong publication record and expertise in vascular biology, endothelial/pericyte biology, or pulmonary research Hands
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for Biomedical Informatics Research at Stanford University. This position emphasizes conducting real-world evidence studies using various causal inference methods (e.g., target trial emulation) to examine
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to outstanding new PhD recipients who have a demonstrated ability to generate high-quality, policy-relevant research on critical issues related to global development. We invite applications for multidisciplinary
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transplantation and to translate this knowledge into improved treatments. Required Qualifications: Individuals with a recent MD or PhD degree with skills in computational biology, bioinformatics, biostatistics
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given to candidates studying early China using analytical methods such as zooarchaeology, paleobotany, ceramic analysis, and lithic analysis. The successful candidate will be expected to: Teach one course
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for ambitious science. Position type: Full‑time; open to candidates from recent PhD graduates to established senior researchers. Required Qualifications: • Design, execute, and analyse high‑density