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. Required Qualifications: PhD in statistics, economics, computer science, operations research, or related data science fields Strong data science skills, including experience working with large, complex data
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and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
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work directly with Alexander Vezeridis, MD, PhD, on active projects and will have the opportunity to contribute to project design and direction. This position is ideal for researchers looking to deepen
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. Qualifications for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated
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sequence programming (ex: Pulseq) Python, MatLab, C++, etc PyTorch, TensorFlow ML Ops Required Qualifications: MD, PhD, or equivalent Technical interest & expertise in MRI Required Application Materials: CV
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-AI), and retrieval-augmented generation (RAG). Tina Hernandez-Boussard, MS, MPH, PhD (link is external) , is Professor of Medicine (Biomedical Informatics), of Biomedical Data Science, of Surgery and
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performance. Mentorship Structure The postdoc will collaborate closely with the lab’s principal investigator Ellen Vitercik, PhD students, postdocs, and external collaborators on multiple research projects
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, time-resolved data, collaborate with faculty across AI, informatics, and emergency medicine, and receive mentorship designed to support growth as an independent investigator. The position includes active
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immunologic skin diseases. Candidates are welcome from various interrelated backgrounds, such as epidemiology, computer science, public health, health services research/health policy, and/or biostatistics
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. Required Qualifications: Doctoral degree (PhD) conferred by start date Demonstrated experience with analysis of large health databases Training and experience in machine learning and deep learning methods