119 formal-verification-computer-science Postdoctoral positions at University of Washington in United-States
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Position Overview School / Campus / College: School of Medicine Organization: Biomedical Informatics and Medical Education Title: Postdoctoral Scholar, Luo Lab - Biomedical and Health Informatics
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protein techniques. Experience with mouse handling and colony management. Experience with molecular biology techniques. Preferred Qualifications Education: No additional education beyond what is stated in
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genetics and genomics, with expanded interests in computational biology, functional genomics, and neuroscience. Example projects within the university and with external partners: • Noncoding Variation in
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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
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research laboratory uses stem cells for the study and treatment of diabetes. We have a wide diversity of projects involving stem cells differentiation, genetic engineering with CRISPR, disease modeling
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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
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Position Summary The Foltz lab works at the intersection of translational immunology and computational biology. We study mechanisms of response and resistance to natural killer (NK) cell therapies
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: Ph.D. in Microbiology, Cell biology, Biochemistry or other related discipline. Extensive expertise in mammalian cell culture and bacterial genetics. Excellent communication, writing and teamwork skills
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Position Overview School / Campus / College: School of Medicine Organization: Psychiatry and Behavioral Sciences Title: Postdoctoral Scholar | SPIRIT Center - Psychosis Treatment and Recovery
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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