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Science Statistics / Biostatistics Applied Mathematics Data Science Demonstrated expertise in modern machine learning, including at least one of the following: Deep learning (e.g., transformers, sequence models
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gain experience in pooled screening techniques including library cloning, CRISPR screening, protein purification, proteomics and sequencing. We will use Python and Bash scripting to analyze and visualize
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apply new approaches to link key metabolic activities in complex microbial communities to specific microbes, genes, and enzymes, to uncover the functions of uncharacterized genes in microbiome sequencing
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for analysis of large-scale whole genome genetic and genomic and phenotype data. Examples include large Whole Genome Sequencing association studies, biobanks, single-cell and CRISPR multiome data, integrative
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the generation of iPS cells. -Embryo manipulation/in vitro fertilization techniques. -Developmental neuroscience. -The biology of aging. -Preparation and analysis of next generation sequencing studies