120 modal-analysis-machine-learning Postdoctoral positions at University of Washington
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expertise in EEG data acquisition and analysis, strong programming skills, and a passion for developmental neuroscience. Experience working with infants or young children is highly desirable. This will be a
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Institute for Learning & Brain Sciences Position Details Position Description The University of Washington’s Institute for Learning & Brain Sciences (I-LABS) has an opening for a bilingual (Spanish-English
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Experience in one of the following areas is desired: medicine/urology/oncology, genomics/genetics, analysis of inflammation/immune composition, pharmacology, biomarker characterization. Expertise/skills in
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on sustainable waste treatments and bio-productions. Key responsibilities include conducting fermentation, bioreactor operations, and cell growth analysis using imaging, OD analysis, and HPLC metabolite
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the Department of Speech and Hearing Sciences and Institute for Learning & Brain Sciences University of Washington: Academic Personnel: College of Arts and Sciences: NATURAL SCIENCES DIVISION: Speech & Hearing
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analysis; Biomarker identification through the use of machine learning approaches; and Multi-omics data integration with genomics, transcriptomics and methylomics data. Job Description Primary Duties
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the geography of outdoor activities and psychological stress. Duties/Responsibilities The researchers will contribute specifically through: Gathering data, developing and implementing machine learning models, and
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will possess: A strong background in scientific programing Interest in developing open-source data analysis and modeling tools in one of the following languages: Python, Julia, or C . A strong interest
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Programming, C++ Programming Language, Data Integration, Genome Assembly, Genomic Data Analysis, Genomics, Independent Research, Machine Learning, Molecular Biology Techniques, Python (Programming Language
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-threatening infection of heart valves. The postdoc would lead an investigation of bacteria-blood cell interactions using flow cytometry, imaging flow cytometry and gene expression analysis with nanostring