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. (or equivalent) and a background in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields. Candidates who have experience with MICCAI or RSNA CT challenge datasets such as
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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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environment that has earned an international reputation for genetically engineering and testing vaccines against a wide variety of enteric and other infections, including malaria, COVID-19 and influenza. Based
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for postdoctoral scholars to advance implementation science for intervention research focused on improving behavioral health service systems treating individuals with serious mental illness and opioid use disorder
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of Maryland School of Medicine, Center for Stem Cell Biology & Regenerative Medicine and Department of Diagnostic Radiology and Nuclear Medicine, for ongoing laboratory research on neural stem cell labeling
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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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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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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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at the University of Maryland, School of Medicine is an interdisciplinary, multi-departmental team of collaborative investigators with a broad research program related to the basic and translational sciences