28 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" "St" Postdoctoral positions at University of Maryland, Baltimore
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below: https://www.medschool.umaryland.edu/profiles/Wang-Ze/ Contact information: Faculty: Ze Wang, Ph.D. Title: Associate Professor Department of Diagnostic Radiology and Nuclear Medicine E-mail: Ze.Wang
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Transduction. JCI Insight . 2019 Jun 6;4(11). Applicants should submit their curriculum vitae and two references or letters of reference to akrupnick@som.umaryland.edu as well as apply to: https
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FOR GENOME SCIENCES. The cancer epigenetics group of Dr. Gaykalova at the Institute for Genome Sciences (IGS, http://www.igs.umaryland.edu ) seeks applicants for a postdoctoral research position. IGS
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about the CVD can be found at: http://medschool.umaryland.edu/CVD/ . The UM is an affirmative action/equal opportunity employer. Job : Postdoctoral Fellows Organization : School of Medicine - Centers
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters
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valves. The project aims to assess stress and strain behavior of native and/or prosthetic heart valves through a combination of benchtop experimental testing and computational simulations (e.g., finite
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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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testing and computational simulations (e.g., finite element analysis, fluid-structure interaction). This work will contribute to improving our understanding of valve biomechanics, inform device design, and
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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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development. * Implementing computationally intensive algorithms on high-performance computational clusters. * Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target