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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups
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Postdoctoral position in Computational Immunology We are looking for two motivated postdoctoral researchers to work on human macrophage biology in the Department of Pathology at Stanford. Successful candidates
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/PhD degrees, and very strong references. We are seeking a candidate with expertise in immunology. Previous experience in cancer research, molecular biology, glycoprotein science, protein mass
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Studies Required Qualifications: PhD, MD or MD,PhD in Immunology, Cell Biology or a related field Required Application Materials: Letter of interest CV including publications and names of references
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and a research angiography suite (Zeego Lab), and partner closely with leading researchers across engineering, materials science, biology, clinical medicine, and industry. The successful candidate will
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data
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: Anesthesiology, Neurobiology, Medicine, Psychiatry, Biology, Radiology, and Psychology. Our T32 also provides tuition support to obtain Stanford Masters in Epidemiology and Clinical Research for those who would
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in Neuroscience, Biomedical Engineering, Computational Biology, or a related field. Strong background in signal processing, including neuroimaging and/or electrophysiology (EEG, MEG) data analysis
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and brain histology, molecular and cellular biology, electrophysiology, calcium imaging and animal handling experience are encouraged to apply. Required Qualifications: Completion of PhD, MD, or MD PhD
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the molecular and cellular biology of vascular cells and diseases. Position will involve working with both human cells and mouse models. The project encompasses uncovering novel mechanisms of gene regulation, and