55 condition-monitoring-machine-learning Postdoctoral positions at University of Washington
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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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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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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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. 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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to study alveolar barrier function, tissue inflammation and matrix remodeling events. This post will provide the opportunity to acquire cutting-edge immunology, genomics, and single cell RNA-seq techniques
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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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employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic
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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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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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learn advanced instrumentation, 3D data analysis, and AI methods in close collaboration with engineers and physicists. We work closely with lab members to develop the skills, confidence, and creativity