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, stereology, and other microscopy analysis techniques. Additional projects and training opportunities can be tailored to suit the candidate's goals and interests, and may include comparative human/nonhuman
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, epigenomics, nucleomics, etc.) Multimodal spatial and single-cell data visualization 2D and 3D bioimaging data visualization Data analysis and data management infrastructure for biomedical data visualization
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the collection and analysis of child (preferably infant or toddler) data Strong written and oral communication skills Strong analysis and programming skills (preferably in R and/or python) Ability to work
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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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synergy with its strategic partners, and provide training on causal inference to the next generation of investigators. For more information on CAUSALab, please visit: https://causalab.sph.harvard.edu
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. This includes the development of novel applications of artificial intelligence, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral
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RF/microwave electronics, NMR, geological science, and rock core analysis are desirable. Special Instructions Please submit a CV that includes a list of publications and research experience. A separate
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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Details Title Postdoctoral Fellow, Center for Geographic Analysis (CGA) School Faculty of Arts and Sciences Department/Area Center for Geographic Analysis (CGA) / Institute for Quantitative Social
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive