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Intelligence (HAI) Medicine, Biomedical Informatics Research (BMIR) Postdoc Appointment Term: 1 year with potential to renew Appointment Start Date: June 2026 Group or Departmental Website: https
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computational biology. The successful candidate will have opportunities to interact with scientists across the Department of Entomology, the Fralin Life Sciences Institute, The Invasive Species Collaborative, and
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, or be close to completing, a PhD in statistical genomics, genetic epidemiology, data science, computing, artificial intelligence, biomedical engineering, or a related field. You will have significant
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across a range of clinically relevant pathogens. Develop novel computational methods to infer biological function directly from protein sequences, including modeling epistatic interactions and residue
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: Reference Number 11336 Artificial intelligence (AI) methods have the potential to significantly advance and transform Earth system sciences, particularly given the complexity of the Earth system as a dynamic
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for the study of critical aerodynamic phenomena such as flow separation, transition to turbulence, shock wave boundary layer interactions in the supersonic and hypersonic regimes. The Aerodynamics laboratories
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curious to deliver work that matters, your journey starts here! The Machine Learning Department (MLD) at Carnegie Mellon University is a leading hub for research and education in artificial intelligence and
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robots, autonomous vehicles, and drones, develop rich frameworks to interact with the world in real time? This is the main underlying theme to be explored within this postdoctoral position. The appointed
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mathematics and computer science Write research papers, articles, and present results at leading international conferences. We publish in venues such as ICML, NeurIPS, ICLR, JMLR, AISTATS, and more Interact
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, we consistently rank among the top engineering programs by US News and World Report. The Civil and Environmental Engineering Department at Carnegie Mellon is seeking a postdoctoral researcher The work