23 engineering-computation-"https:"-"https:"-"https:"-"https:"-"LGEF" Postdoctoral positions at University of Maryland, Baltimore
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Postdoctoral Position in Microbiome, Bioinformatics, and Computational Biology - (250000Y1) The Center for Advanced Microbiome Research and Innovation (CAMRI) within the Institute of Genome Sciences
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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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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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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters
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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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Qualifications - External Minimum Qualifications Education: Ph.D. in psychology, neuroscience, engineering, or related field is required. Experience: Background in MRS or MRI Knowledge and Skills • Programming
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a Ph.D. degree in Electrical Engineering, biomedical engineering, Physics or related field with 1-3 years of experience in MR pulse sequence development, and / or experience with modern reconstruction
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are currently recruiting motivated Postdoctoral Fellows with a Ph.D., M.D. (or equivalent) and a background in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields. Candidates who
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. degree from an accredited university in biomedical engineering, electrical engineering, neuroscience with interest in imaging sciences or related field. The successful candidate will be self-driven