14 machine "https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral research jobs at University of Washington
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of electrochemistry and artificial intelligence. Ideal candidates will have experience in machine learning, large language models, AI-agent development and computational workflows, with particular interest in building
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our research is uncovering the molecular mechanisms of ATP-dependent AAA proteolytic machines, both soluble and membrane-spanning, and their accessory factors in bacterial and mitochondrial systems. We
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to support research projects that may include use of Makerspaces, machine shops, advanced manufacturing, or supervising instructional design teams; may involve use of Solidworks/Autocad model development
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machine learning within the scope of ACAG. The postdoc will have various opportunities for professional development, including contributing to and leading grant proposal development (e.g., external
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (www.foylab.xyz/) https://foylab.xyz/ , developing machine learning, computational, and mathematical models for improving
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developing new ones, including machine and deep learning methods. There will be opportunities for development of new cell line and animal models and testing, evaluation, and analysis of new genomic
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The Department of Biostatistics at the University of Washington has an outstanding opportunity for a postdoctoral scholar. The postdoctoral scholar will develop statistical machine learning and artificial
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international groups developing methods for the analysis of microbiome data (https://statdivlab.github.io/ ). The StatDivLab develops cutting-edge statistical methodology to address the most important
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. Eisenberg about also applying for the Biological Mechanisms of Healthy Aging Training Program (https://halo.dlmp.uw.edu/bmha/post-doctoral-openings/). The position is 100% FTE for 12 months. Benefits such as
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at the intersection of active transportation safety and AI (e.g., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision