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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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, Dev. Cell, 2007; Pandit et al., Development, 2015; Palaniappan et al., Development, 2018). The overall focus of this project is to understand the molecular mechanisms that control light- and opsin
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types of cell-matrix adhesion complexes control stem cell pluripotency and differentiation. The project will involve the development of synthetic DNA nanostructures that measure and selectively perturb
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control, management, and archival storage; analyzing large-scale datasets, developing code, and creating novel tools and methods for advanced data analysis; supporting ongoing research activities
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stochastic control, numerical simulation, and machine learning with ecological and economic models, the project offers a unique vantage point on biodiversity as a financial asset. The postdoctoral researcher
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to tax. The PI covers running costs for the project. Project description What if we could decode the hidden language within plant genomes that controls their resilience to climate change, their growth
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tools, version control (Git), and collaborative coding (strong merit) Strong understanding of statistics and machine learning for high-dimensional data (strong merit) Experience with workflow management