-
vibrant, multidisciplinary team that offers strong mentoring, access to an international network, and outstanding career growth opportunities. The laboratory operates in a new, state-of-the-art HSF III
-
. (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
-
mandatory. Opportunities: You will join a vibrant, multidisciplinary team that offers strong mentoring, access to an international network, and outstanding career growth opportunities. The laboratory operates
-
available in the laboratory of Dr. Bradley Maron in the Division of Cardiology at the University of Maryland School of Medicine in Baltimore. The laboratory’s research applies network medicine and systems
-
, 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
-
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
-
; Embraces and actively promotes an inclusive and equitable work environment. Experience conducting mixed-methods research, including quantitative and qualitative analytical skills; Proficient computer skills
-
, 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
-
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
-
. 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