116 computer-science-data-warehouse Postdoctoral positions at University of Washington
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. Computational and bioinformatic skills. Experience in microscopy. Generation and analysis of mouse models. Handling of human samples. Molecular biology skills including CRISPR, cloning and qPCR. In vitro cell
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the Required Qualifications section. Work Experience: No additional work experience beyond what is stated in the Required Qualifications section. Skills: Collaboration, Computational Biology, Data Analysis, Data
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repository and computer servers. Run existing PET/MR brain image processing pipelines on the computer servers, produce the results, and communicate with the group members. Write computer codes for the above
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learning, especially in early development. More information about I-LABS can be found at: (http://ilabs.washington.edu ). This I-LABS research is led by Dr. Patricia Kuhl (Speech and Hearing Sciences
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Position Overview School / Campus / College: College of Arts and Sciences Organization: Linguistics Title: Post-doctoral Researcher in Language Development and Processing Position Details Position
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Position Overview School / Campus / College: College of Arts and Sciences Organization: Speech & Hearing Sciences Title: Postdoctoral Scholar in the Department of Speech and Hearing Sciences and
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Description The Manicone Lab in the Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine within the Center for Lung Biology at the University of Washington is seeking a postdoctoral
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Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: A PhD in Genetics, Bioinformatics, Computer Science, Data Science, Statistical Genomics
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, predictive models of neurodegenerative disease with a focus on Alzheimer's Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical
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section. Work Experience: Postdoctoral Experience In Genetics, Biochemistry, Molecular Biology, Cell Biology, Or A Related Field () Skills: Collaboration, Data Analysis, Data Interpretations