36 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" Postdoctoral positions at University of Maryland, Baltimore
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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
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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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. 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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possess strong communication and organizational skills. Qualifications a..Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is
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experience, the applicant can expect to receive career mentoring from faculty of various backgrounds (clinical and fundamental science) in developing a research program, writing research proposals, and to
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PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining algorithm, magnetic resonance
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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