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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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, molecular biology, biochemistry and cell biology, chemical biology, immunology, functional genomics, signal transduction, single-cell sequencing, spatial sequencing, metabolism, drug development, structural
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epidemiology, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from
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, the development and fine-tuning of vision foundation models, multiple instance learning, survival analysis, and interpretable model development. You will also lead efforts in building multimodal deep learning
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, the development and fine-tuning of vision foundation models, multiple instance learning, survival analysis, and interpretable model development. You will also lead efforts in building multimodal deep learning
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-of-the-art dry lab under the general supervision of Dr. Katherine Janeway at Dana-Farber Cancer Institute (DFCI). The lab utilizes genomic and transcriptomic sequencing to elucidate the underlying
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Lab of Plant Biodiversity at Harvard University is seeking an exceptional postdoctoral researcher (or research associate) to work with us on the sequencing, identification, and analysis of comparative
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large-scale whole genome sequencing datasets, applying cutting-edge bioinformatics approaches to study structural variants. The fellow will play a key role in advancing our understanding of evolutionary
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in-house RNA sequencing datasets, the post-holder will discover common human renal and cardiac senescence biomarkers. They will also test the potential of spatial transcriptomics to measure drivers
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brain injury. The successful candidate will work on animal models of brain injuries and apply cutting-edge spatial multi-omic sequencing to study the cellular and molecular changes. The role involves both