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The Department of Biostatistics at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Research Fellow position in statistics, genetics, and biomedical AI. The lab develops
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the O’Connor lab at Harvard Medical School in Boston, Massachusetts, in the field of computational human genetics. Prospective postdoctoral researchers should hold a Ph.D. by the time they would begin their
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fellow to join our studies on the genetic basis of human evolution, with a focus on the evolution of the human brain. Candidates with a strong track record in any biological field are welcome to apply
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. Responsibilities include but are not limited to the following areas: Conduct cutting-edge research to elucidate mechanisms of stem cell signaling in the context of tissue injury, repair, cancer and genetic diseases
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Postdoctoral Research Fellow position in statistics, genetics, and biomedical AI. The lab develops cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical
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, particularly computational approaches for metagenomic and metatranscriptomic profiling, multi-omic integration (e.g. with metabolomics or genetics), and their application in population studies. * Familiarity
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Biology, Genetics, Cell Biology, or a closely related field, with a strong emphasis on cancer research. Demonstrated expertise in molecular biology techniques and omics technologies. Experience with imaging
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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as a reference. Basic Qualifications PhD and/or MD, or equivalent, in areas such as immunology, cell biology, physiology, microbiology, neurobiology, genetics, bioengineering, biochemistry, cell or
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Fellow position. The Arlotta lab at HSCRB is working to identify the cellular and molecular pathways disrupted in brain disorders such as schizophrenia and autism, by utilizing recent advances in genetics