Sort by
Refine Your Search
-
medical physics, physics, engineering, computer science or a related field. Strong background in image analysis, image registration and/or image segmentation. Strong background in machine learning
-
expected to work on mouse models with a group of highly motivated young scientists to employ interdisciplinary approaches, such as retinal cell biology, functional genomics, imaging, and biochemistry
-
, biochemistry and molecular virology. Representative publications and more information about our lab can be found at: https://kutluaylab.wustl.edu/ . The Kutluay lab and Washington University provides
-
Details Posted: 12-Apr-24 Location: Seattle, Washington Type: Full Time Salary: Open Categories: Academic/Faculty Internal Number: 91335 Position Description The Department of Oral Health Sciences
-
, but other viruses that alter immune regulation are also studied. Techniques in the lab include molecular biology, biochemistry, microscopy, viral genetics, flow cytometry, analysis of large data sets
-
turn may be targeted therapeutically for IPF. Experimental approaches employed in our lab involve cell signaling and metabolism, metabolomics, mitochondrial biology, molecular/cellular biology
-
-time Postdoctoral fellow(s) in Translational Medicine. The group seeks a highly motivated and independent Postdoctoral Fellow candidate(s) with a strong background in multi-omics molecular biology, and
-
Job Description Position Summary We are considering the applications of a postdoctoral research fellow in medical imaging, neuroimaging, and artificial intelligence (AI). This exciting career
-
Resonance Imaging) and fluid-based (cerebrospinal fluid, blood/plasma) biomarkers. We now seek a postdoctoral research associate with strong statistical and/or computer science skills to analyze high-fidelity
-
Postdoctoral Research Associate (Genomics, Data Integration, Deep Learning, AI) - Radiation Oncology
an ambitious interest in developing tools and applying cutting-edge bioinformatic and deep learning/AI techniques to advance our understanding of cancer biology and treatment. Our agile, growing