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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
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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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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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multiple faculty members. Candidates for this position must have completed their Ph.D. degree by the appointment start date; demonstrate outstanding research in theoretical condensed matter physics
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will join a young laboratory with opportunities to contribute to multiple exciting projects, broadly focused on defining the molecular mechanisms of host-microbiome interactions using CRISPR screens