17 parallel-and-distributed-computing-"UNIS" Postdoctoral positions at University of Maryland, Baltimore in United States
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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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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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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters
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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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Program (MRNTP) services that provides Referral to UMMC- Level IV NICU Referral to UMMC PICU providing ECMO and post-cardiac surgery care Vermont-Oxford Network. Reporting on Quality Metrics UM SJMC is a
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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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integration of transplanted stem cells. We expect the fellow to be highly motivated, independent and innovative. The applicant can expect to receive career mentoring from faculty of the Program of Image Guided
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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