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with analysis of large health databases Demonstrated experience with applying advanced machine learning methods to multimodal data Demonstrated strong technical writing skills Experience with grant
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tissue to address these questions. Required Qualifications: • Experience in molecular and cell biology techniques, preferably in single cell sorting (FACS) and analysis, immunofluorescence and confocal
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on physiologic waveform analysis, biomedical signal processing, and computational modeling of continuous clinical monitoring data. The successful candidate will work on projects involving the analysis
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design through data work, analysis, and publication, with the goal of co-authored papers aimed at leading economics and interdisciplinary journals. Contribute to ongoing lab projects or priorities based
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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
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, Neuroscience, or a related field. Experience with model organisms and/or bioinformatic data analysis is an advantage, but not essential. Willingness to write grants and manuscripts is a prerequisite. Required
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Proficiency in R and/or Python for data analysis is a plus Record of research productivity and publication Motivation to start or continue in benign urology research Written and verbal communication skills
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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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@stanford.edu(link sends e-mail) with the subject line: Postdoctoral Scholar. For additional information about the position, please contact Dr. Supekar at the same email address. Does this position pay above the