37 data-"https:"-"https:"-"https:"-"https:"-"Inserm"-"Inserm" Postdoctoral positions at University of Maryland, Baltimore
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Description POSTDOCTORAL FELLOW: The Maryland Psychiatric Research Center (MPRC) at the University of Maryland School of Medicine is recruiting a Postdoctoral Fellow for the Biostatistics and Data Science
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, to this link https://umb.taleo.net/careersection/jobdetail.ftl?job=2500018O&lang=en To apply for this position or to seek additional information, please contact Dr. Chen at ShuoChen@som.umaryland.edu
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Post-Doctoral Position in biomedical data mining - (200000K1) The Biomedical Data Mining Lab, Department of Radiology, at University of Maryland School of Medicine, Baltimore is seeking a candidate
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Post-Doctoral Position in Biomedical Data Mining - (180000MG) The Biomedical Data Mining Lab, Department of Radiology, at University of Maryland School of Medicine, Baltimore is seeking a candidate
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/FSI) of cardiac valves. * Integrate experimental data with simulation results to evaluate stress and strain distributions. * Collaborate with clinicians, engineers, and scientists across disciplines
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loading conditions. • Develop and validate computational models (FEA/FSI) of cardiac valves. • Integrate experimental data with simulation results to evaluate stress and strain
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technical issues. Compile, analyze, and interpret research data using various relevant computer software applications. Conduct library research and participates in editing and preparing grant proposals
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of required components and explaining/resolving technical issues. Compile, analyze, and interpret research data using various relevant computer software applications. Conduct library research and participates
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quantification of neurotransmitters and bioenergetics. Key functions include MRS/neuroimaging methodology, applications, data processing, statistical analysis, and manuscript write-up. Qualifications
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areas: · Metagenomic and metatranscriptomic sequencing analysis · Single-cell RNA-seq and proteomic/metabolomic data integration · Integration of clinical and multi-omic microbiome data