25 power-engineering-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of Maryland, Baltimore
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post-doctoral fellows that work on advanced MRI techniques. The ideal candidate would have a Ph.D. degree in Electrical Engineering, biomedical engineering, Physics or related field with 1-3 years
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immune assays. Experience working with infectious disease models and/or animal models of infection and vaccination. Demonstrated ability to independently design, execute, troubleshoot, and interpret
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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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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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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
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, Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, or related fields. The postdoctoral researcher will participate in newly NIH-funded studies to apply neuroimaging and focused ultrasound
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pluripotent stem cells (hiPSCs). Primary responsibility is to utilize the CRISPR/Cas9 genomic engineering technology to examine the impact of genomic ablation of the candidate target genes on iPSC-CM and animal
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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
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of these small molecules by identifying their cellular targets using cell biological and biochemical approaches. Second goal is to utilize CRISPR/Cas9 genomic engineering technology to examine the impact of