14 computer-programmer-"UNIS" Postdoctoral positions at University of Maryland, Baltimore
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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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, 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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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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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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to screen for effective drug therapies to combat these and other CaV 2.1 channelopathies. In addition, the successful candidate will be given opportunity to develop an independent research program
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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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. 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