111 condition-monitoring-machine-learning Postdoctoral positions at University of Washington
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Institute for Learning & Brain Sciences (I-LABS) has an opening for a bilingual (Spanish-English) post-doctoral researcher interested in bilingual language development in young children. We are focusing
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care. The Luo Lab in the 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
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conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and
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engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big data. · At least one year of research experience in transportation
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documents, and other written documents to guide clinical research studies Prepare and submit human subjects applications, monitoring application process Conduct clinical research activities including clinical
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documents, and other written documents to guide clinical research studies Prepare and submit human subjects applications, monitoring application process Conduct clinical research activities including clinical
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or experience in nontraditional research publication methods and collaborative notetaking software (e.g., Roam Research, Obsidian, Notion). ? Familiarity with cloud computing and machine learning techniques
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Scholar appointments to a total of five years, including postdoctoral experience(s) at other institutions. The University of Washington and the International Union, Automobile, Aerospace and Agricultural
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Institute for Learning & Brain Sciences Position Details Position Description The University of Washington’s Institute for Learning & Brain Sciences (I-LABS) has an opening for a bilingual (Spanish-English
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regard to race, color, creed, religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information, gender identity or expression, age, disability, or protected veteran status