57 computer-science-programming-languages-"U" Postdoctoral positions at University of Maryland, Baltimore
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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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, 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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the first authorship in a peer-reviewed publication. While expertise in T cell biology, radiolabeling, biostatistics, and animal handling is advantageous, it is not mandatory. Opportunities: You will join a
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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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molecular biology, demonstrated by first authorship in a peer-reviewed publication. While expertise in nucleic acid sequencing, biostatistics, cell culture, and animal handling is advantageous, it is not
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, high scientific integrity and rigor, excellent written and oral communication skills and hold a valid VISA to work in the US. A strong background in molecular biology, bioinformatics and systems biology
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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
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of Obstetrics, Gynecology and Reproductive Sciences. Dr. Burd’s research focuses on understanding the maternal infection and inflammation's impact on preterm birth and adverse neurological outcomes in offspring