21 computer-vision-and-machine-learning Postdoctoral positions at University of Maryland, Baltimore
Sort by
Refine Your Search
-
Description Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in the Department of Radiology & Nuclear Medicine at the University
-
sequence data, epigenetic and clinical data, using machine learning to identify biomarkers, and developing polygenic risk scores. These studies aim to uncover the underlying biology of disease development in
-
, 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
-
Post-Doctoral Position - Medical Image Processing - (240000Y9) Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in
-
. Qualifications: The ideal candidate will have extensive experience in T cell-based immunotherapy (it might include CAR T cells), including studies on in vitro T cell–cancer cell interactions demonstrated by
-
; Embraces and actively promotes an inclusive and equitable work environment. Experience conducting mixed-methods research, including quantitative and qualitative analytical skills; Proficient computer skills
-
scientists with PhD and/or MD in an appropriate field. Experience in molecular biology, biochemistry, molecular genetics, mouse behavioral assays as well as willingness to learn associated areas are positives
-
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
-
science on bacterial pathogens with translational implications for worldwide impact. This position would provide opportunities to learn novel cell modeling systems and immune response characterization and
-
perturb embryonic patterning. The first goal of the study is to determine how these small molecules function by identifying their cellular targets using cell biological, biochemical and computational