19 machine-"https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs at University of Washington
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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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scholar will develop statistical machine learning and artificial intelligence methods (ML/AI) for diverse biological data in relation to cardiovascular and neurodegenerative diseases. The specific areas
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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
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Department of Biomedical Informatics and Medical Education has a Postdoctoral Scholar position open with a focus in machine learning. The postdoctoral scholar will work on topics of mutual interest such as
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and team members to conduct novel research. Key Responsibilities Produce novel computational models of biological systems (e.g. MuJoCo, MJX, Blender, aerodynamic modeling approaches) 30% Apply machine
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applying existing tools and 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
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(2025). 4. Ghanbarpour, A.; Sauer, R. T; Davis, J. H.; A proteolytic AAA+ machine poised to unfold a protein substrate, Nature Communications, 15, 9681 (2024). Job Description Primary Duties
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(2025). 4. Ghanbarpour, A.; Sauer, R. T; Davis, J. H.; A proteolytic AAA+ machine poised to unfold a protein substrate, Nature Communications, 15, 9681 (2024). Job Description Primary Duties
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live imaging, and machine learning–based image analysis and collaborate with theorists to develop quantitative models of development. We welcome applicants who are interested in basic lab careers, as
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the center Write custom codes in Matlab and Python Develop statistical and machine learning methodologies to analyze and predict aspects of the collected data With the guidance of Drs. Stuber and