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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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, 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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; Embraces and actively promotes an inclusive and equitable work environment. Experience conducting mixed-methods research, including quantitative and qualitative analytical skills; Proficient computer skills
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, M.D., Associate Professor of Pediatrics and of Medicine; Co-Director of the Immunoepidemiology and Pathogenesis Unit within the Malaria Research Program: mtravass@som.umaryland.edu . Further information
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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
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experimental procedures and results in a detailed laboratory notebook and computer databases. Analyze data using statistical software. Prepare graphics to present data at conferences and in manuscripts
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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