Sort by
Refine Your Search
-
(or similar) data analysis. The candidate will work closely with an international team led by Dr. Kristin Braziunas and Prof. Brian J. Harvey at the University of Washington and Dr. Judit Lecina-Diaz
-
. Please upload the following required forms as part of the application process: Updated CV, Letter of Interest or Cover Letter, Statement of research plans, Name/contact information for at least three
-
data and high-throughput, multi-dimensional -omic data to study neurodegeneration and diseases of the central nervous system, with an emphasis on Alzheimer disease, Parkinson’s disease, and other
-
(SUNBIRD) to validate blood biomarkers for Alzheimer’s disease in a large clinic-based cohort. This position is a member of a multidisciplinary research team and performs a variety of research, data base
-
tissue, new imaging modalities, small animal maintenance and surgeries, and single cell transcriptomics. They will also gain experience in bioinformatic analysis of sequencing and large-scale imaging
-
of developing computational tools to solve previously unattainable problems through creative use of big data in the biomedical and clinical research. Combining bioinformatics and experimental approaches
-
of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models of degeneration; data collection
-
Scheduled Hours 40 Position Summary Our research lab works on clinical outcomes research after cardiac surgery. This is done utilizing our own patient database, in addition to the large database
-
., from IRB, funder, PI, and others). • Proactively identify and resolve instances of conflicting instructions, information, documentation, priorities, and/or project requirements. • In an ongoing manner
-
within the Department of Radiology. The candidate will have the opportunity to work on “big data” studies in health and diseases, including schizophrenia, psychosis, and Alzheimer’s disease. We collaborate