16 computational-complexity-"Prof"-"Prof" Postdoctoral positions at University of Maryland, Baltimore
-
. (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
-
primarily be involved in a project investigating the role of polycystins complex as a distinct ion channel and in primary cilia in kidney physiology and disease. The project will also involve the functional
-
, 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
-
+ parameters/cell) with a focus on complex data analyses, as well as the performance of a variety of molecular biology and immunological techniques depending on the research questions being addressed
-
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
-
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