8 postdoc-machine-learning "https:" Postdoctoral positions at University of Washington
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a novel multi-omics approach that integrates high-throughput imaging and machine learning methods with CRISPR/Cas9 screens and saturation mutagenesis to answer central questions about the
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candidates with strong expertise in Bayesian methods, uncertainty quantification, and/or machine learning applied to nuclear theory. The group’s research spans a wide range of topics including nuclear
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visitors from all over the globe who come to learn, study, teach, and discover. FHL is committed to fostering an environment that is professional, ethical, inclusive and respectful of all who participate in
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. https://hr.uw.edu/labor/academic-and-student-unions/uaw-postdocs/uaw-postdoc-contract Position Responsibilities: • Conduct original research in paleobotany using phytoliths, including fieldwork in Panama
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, atmospheric signals), data fusion across sensing modalities, and development of scalable machine learning pipelines. Work will be entirely computational and based in Seattle, with no field deployment
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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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based on predictions from statistical and machine learning models Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria
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. For more information, please visit the University of Washington Labor Relations website https://hr.uw.edu/labor/academic-and-student-unions/uaw-postdocs/uaw-postdoc-contract We are seeking a creative