119 computer-science-image-processing Postdoctoral positions at University of Washington
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Science 371:1154). The position will involve utilizing human specimens, cell culture models (epithelial and immune cells) and testing hypothesis in mouse models of the disease. Appropriate training in all
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for this position. More About This Job Preferred Qualifications: PhD in biological science (or related fields) and a strong background in biochemistry, cell biology, or structural biology. Experience in mammalian
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, pharmacology, toxicology or a closely related field. Must have a strong background in molecular and biomedical research, with training and experience in cell and tissue culture, molecular analysis, protein
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to treat advanced prostate cancer including treatments that exploit androgen receptor signaling, DNA repair deficiency and immune-based agents. We are recruiting a post-doctoral fellow to engage in
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Position Overview School / Campus / College: School of Medicine Organization: Otolaryngology / Head and Neck Surgery Title: Postdoctoral Scholar – Auditory brain and behavioral predictors of late
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Position Overview School / Campus / College: College of Arts and Sciences Organization: Physics Title: Postdoctoral Scholar - Particle Physics, String Theory and Cosmology Group Position Details
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asked questions about the application process, please refer to our External Applicant FAQ . Accommodation If you are unable to use our online application system and would like an accommodation, please
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science and replicable research. Traveling in the US and internationally (e.g., Greece or Turkey) for fieldwork, collaboration, and conferences. Contributing to other related tasks as required
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Applicable Questions For frequently asked questions about the application process, please refer to our External Applicant FAQ . Accommodation If you are unable to use our online application system and would
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human