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About the Opportunity This job seeks a postdoc to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: Developing machine
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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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spearhead technical development, data analysis, and publication efforts for a student-led initiative using OpenBCI hardware, EEG recordings, eye-tracking integration, and machine learning to enhance neural
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. The ability to troubleshoot and learn novel technology. Required to conduct research activities lawfully and ethically by consistently adhering to compliance policies. Job Duties Job Duty Performs laboratory
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partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course
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fluids, quantum spin liquids and exciton fluids. • Data Management, Analysis & Machine Learning Knowledge and experience in high volume image-array data acquisition and management, development of custom
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reporting requirements on AI for Health research and projects. Required Qualifications Ph.D. in Biomedical Engineering, Computer Science, Electrical and Computer Engineering, Integrated Systems Engineering
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and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu). The position is for one year with the possibility of reappointment based on satisfactory performance and
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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Engineering or relevant field; Strong computer programming skills (e.g., C/C++/Java/Python, Matlab) are a must; Strong background in Computational and/or Artificial Intelligence; Usage of Machine Learning and