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HMS - Postdoctoral Fellow in Zitnik Lab — Harvard Medical School

Harvard University  ·  Harvard Medical School  ·  Cambridge, MA
PostdoctoralNon-TenureArtificial Intelligence

Position summary

Explore Academic Positions at Harvard HMS - Postdoctoral Fellow in Zitnik Lab Bookmark this Posting Print Preview | Apply for this Job Position Details Title HMS - Postdoctoral Fellow in Zitnik Lab School Harvard Medical School Department/Area *** Position Description We invite applicants for a postdoctoral fellow position in the Zitnik lab at Harvard Medical School in Boston, Massachusetts. The work of the Zitnik

lab is focused on Artificial Intelligence for Medicine and Science. The selected candidates will lead research in generative, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scaleknowledge graphs, and large language models. Fellows will also have the opportunity to apply these methods to address challenges in scientific discovery and precision medicine.We seek

highly motivated applicants with a background in one or more of the following areas: agentic AI, geometric deep learning, large-scale knowledge graphs, large language models, multimodal learning, and generative AI. Successful applicants will be strong technically as well as have an inclination towards real-world problems. Ideal candidates will have demonstrably strong research skills, evidenced by multiple

publications in top-tier machine learning or artificial intelligence conferences and/or leading scientific journals.Salary and Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post-PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines.With this appointment, you are represented by the Harvard

Academic Workers (HAW) – UAW for purposes of collective bargaining and matters affecting your compensation and working conditions. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as machine learning, computer science or closely related field. Excellent programming skills and practical experience with leading machine learning frameworks and modern AI environments, including multi-GPU model training and

large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications Experience in applications of AI to biology and medicine is a strong plus. If visa sponsorship is needed, Harvard retains the discretion to determine which visa status is appropriate and whether a visa sponsorship application will ultimately be submitted, including payment of any applicable fees. Special Instructions The

Summary from the source posting. Always confirm details on the institution's official career page.

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