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the sensitivity and information content of cell-free nucleic acid analysis, including ctDNA detection at very low tumor fractions and cfRNA-based readouts of tumor and host biology. A second arm applies these
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NMR studies of intact bacterial cells, cell walls, and extracellular matrices, as well as industrially relevant polymers and catalysts; Structural and compositional analysis of functional amyloids
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or B cell characterization using FACS markers. Single cell sequencing and analysis, BCR or BCR sequencing analysis and characterization Working with biological samples such as cells, or nucleic acids
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and AI-based approaches, including predictive modeling, stratification, explainable AI, and integrative multimodal analysis. The scholar will have opportunities to lead first-author publications
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Research Lab is seeking a Postdoctoral Research Fellow with strong quantitative data analysis skills to join our interdisciplinary team of investigators. The fellowship goals include advancing our research
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appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. The bergerlab.stanford.edu (link is external) is appointing! We're looking for a postdoc with a neuroscience/EEG analysis
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pharmacodynamic (PD) methods, the postdoc will integrate clinical pharmacology with advanced -omics analysis. Specifically, the candidate will leverage PK-PD models that integrate mirobial biomarkers for children
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: atmospheric convection, radiative transfer, climate change, atmospheric/fluid dynamics, or machine learning. Proficiency in numerical analysis and high-performance computing. Experience with atmosphere/climate
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biology and offer training in human histology, statistics, omics data analysis, computer vision, grant writing, and scientific publishing. Required Qualifications: 1. A doctoral degree (PhD, MD
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global collaborators, with deployment opportunities ranging from agricultural landscapes in California to tropical wetland ecosystems in Brazil and Indonesia. The ideal candidate has strong data analysis