119 computer-science-data-wahrn-hous Postdoctoral positions at University of Washington in United-States
-
Position Overview School / Campus / College: School of Medicine Organization: Biomedical Informatics and Medical Education Title: Postdoctoral Scholar, Luo Lab - Biomedical and Health Informatics
-
to regulate metabolism. We are interested in how these EV-mediated signals contribute to pathology in obesity and diabetes with the hope that we can harness this information to treat human disease. Job
-
Biology, Deep Learning, Histology, Immunochemistry, In Vivo Imaging, Micro-Computed Tomography (Micro-CT), Mouse Handling Questions For frequently asked questions about the application process, please refer
-
are looking for a postdoctoral researcher with physics or engineering expertise who will design and operate a 3D super-resolution ultrasound system, write control software, build computational imaging pipelines
-
industrial engineering, systems engineering, computer science, electrical engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big
-
technologies, computational genomics, functional assays, and integrated data analysis. We are seeking a highly motivated Postdoctoral Researcher who shares our passion for solving foundational problems in human
-
Position Overview School / Campus / College: College of Arts and Sciences Organization: Biology Title: Postdoctoral Position in Quantitative Cell Biology in the MATSU lab Position Details Position
-
Position Overview School / Campus / College: School of Medicine Organization: Psychiatry and Behavioral Sciences Title: Postdoctoral Scholar | SPIRIT Center - Psychosis Treatment and Recovery
-
consortium involvement in the Undiagnosed Diseases Network, Genomic Information Commons, and the Impact of Genomic Variation on Function. We are seeking a skill set in cell culture experiments, including
-
conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and