56 image-processing-and-machine-learning Postdoctoral positions at University of Washington
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Position Summary The Crewe lab uses a combination of mouse models, biochemistry, physiology, and cellular imaging, to study the regulation of extracellular vesicle (EV) production and how EVs signal
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activities and psychological stress. Duties/Responsibilities The researchers will contribute specifically through: Gathering data, developing and implementing machine learning models, and interpreting findings
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interpreting wet-lab synthesis data are encouraged to apply and will have opportunities to explore machine learning-guided approaches in chemistry. In addition to excellent research skills, we are seeking
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genetic analyses of amyloid imaging identify new genes for Alzheimer disease ”, Acta Neuropathol Commun, 2023 PMID: 37101235 Working Conditions: This position works in a laboratory environment with
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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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, Communication, Hands-On Learning, Interdisciplinary Teams Questions For frequently asked questions about the application process, please refer to our External Applicant FAQ . Accommodation If you are unable
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laboratory, which focuses on developing optical spectroscopy and imaging tools to solve global problems in reproductive health. The successful candidate will have the opportunity to work with a
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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