15 computer-"https:"-"https:"-"https:"-"https:"-"UNIV" 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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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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which early-life gut microbial metabolism shapes host immunity. We welcome applicants with backgrounds in computational biology, molecular microbiology, and/or basic immunology to apply for the following
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, strongly motivated researcher with knowledge of MR physics. Working knowledge of computer languages (e.g. Matlab) and statistical analysis software for imaging processing of structural and functional MRI
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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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. Qualifications a. Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining