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of computational methods into clinically interpretable tools for bedside monitoring. Required Qualifications: PhD, MD, MD-PhD, or equivalent degree in biomedical engineering, electrical engineering, computer
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Qualifications: A PhD, MD/PhD, or equivalent research doctoral degree in neuroscience, biomedical data science, computer science, psychology, psychiatry, statistics, engineering, applied mathematics, or a related
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for recent MD and PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data
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an opportunity to develop new targeted delivery technologies with a clear path toward preclinical and clinical translation. Required Qualifications: PhD in pharmaceutical sciences, chemistry, chemical engineering
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, biomedical data science, genetics, and AI. (5) Lead and contribute to peer-reviewed manuscripts, conference presentations, and grant proposals. Required Qualifications: PhD, MD, MD/PhD, or equivalent doctoral
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Science, Biomedical Engineering, or related field. • Demonstrated expertise in at least one of the following: – Large‑scale macaque electrophysiology (ideally Neuropixels) – Cognitive & behavioural paradigms in
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data