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). Postdoctoral Fellow, Multimodal Machine Learning Role Overview The Postdoctoral Fellow will develop techniques to build a foundation model of human neurotypes by integrating cognitive task performance
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health initiatives. Experience with programming languages, machine learning, or health informatics would be considered an asset. Previous graduate-level teaching experience would be considered an asset
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, curating, designing, coding innovations or being involved in digital health initiatives, or with programming language experience and experience in machine learning and health informatics. An
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health landscape. Experience developing, curating, designing, or coding innovations, or participating in digital health initiatives. Experience with programming languages, machine learning, or health
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pipelines to test measurement quality, reliability, and validity. Partner with the machine learning team to define interpretable features and target evaluations for multimodal models. Qualifications: PhD
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: Microprocessors; Zeljko Zilic ECSE 461: Electric Machinery; Xiaozhe Wang ECSE 515: Optical Fibre Communications; David Plant ECSE 551: Machine Learning for Engineers; Narges Armanfard ECSE 552: Deep
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developing or implementing quality control programs or long-term performance monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows