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Jia Liu is seeking a highly-motivated postdoctoral researcher with a strong background in agentic artificial intelligence and machine learning. The successful candidate will conduct independent, high
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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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on projects at the intersection of computational neuroscience and machine learning. This position is part of a multi-investigator grant on the role of memory in intelligence systems. The Postdoctoral Fellow
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to a deeply decarbonized and reliable energy system. The Postdoctoral Fellow will work closely with the project directors and collaborators to develop data-driven and economically grounded frameworks
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the project directors and collaborators to develop data-driven and economically grounded frameworks for understanding how AI-enabled control, optimization, and market design can support large-scale
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, epigenomics, transcriptomics, and proteomics) information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with
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of the Wyss Translational AI Catalyst to foster a collaborative community of innovators dedicated to the intersection of Artificial Intelligence (AI), biology, and healthcare. This Fellowship is designed
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Details Title Postdoctoral Research Fellow in Statistical Machine Learning and Biomedical AI School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description
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with real-world samples, and effectively integrating them with microfluidics as a standalone device. This is a great opportunity to learn new skills, contribute to assay development, and intellectually
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technologies, posing scientific hypotheses, performing experiments, collaborating with other researchers, mentoring graduate students, publishing scientific results, and presenting at conferences. The ideal