60 image-processing-and-machine-learning Postdoctoral positions at University of Washington
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pluripotent stem cell (iPSC) cultures is advantageous. Knowledge of flow cytometry, cell sorting, high-throughput screening and cell-based screening (e.g., luciferase assays, high-content imaging, massively
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. Experience with high-throughput molecular biology assays. Experience with complex functional experiments. Background in machine learning, AI, or data integration for genomic datasets. Familiarity with gene
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processing of social information in patients with psychiatric conditions remain largely unclear. We use a suite of cutting-edge techniques, including in vivo multi-photon imaging, fiber photometry, and custom
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in adaptive immune systems (e.g., co-evolution of bacteria and phages, as well as T and B cells with pathogens). • Physics-informed machine learning of biophysical systems (e.g., developing optimal
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in the near future) in Cancer Biology or a related field. Proficiency in experimental techniques such as cell/organoid culture, library construction, imaging and handling animal models. Experience in
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biologist to join our interdisciplinary team of research biologists, medical doctors, engineers, mathematicians, and computer scientists studying cancer and other human diseases. We are at the forefront
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://www.washington.edu/admin/rules/policies/FCG/FCCH24.html#2432 ). Privacy Notice Review the University of Washington Privacy Notice for Demographic Data of Job Applicants and University Personnel to learn how your
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for Demographic Data of Job Applicants and University Personnel to learn how your demographic data are protected, when the data may be used, and your rights. Disability Services To request disability accommodation
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for enhanced GVHD suppression and/or cancer targeting (i.e., CAR-iNKT). Presents data at conferences and writes research papers. Writes and submits grant proposals. Facilitates collaborative projects in which
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or interests in programming languages such as R or Python. Independence to lead a project as well as willingness to work in a team. An open mind to learn new methods from other researchers and collaborators