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. metro area. Opportunity to partner with frontier AI labs on scientific applications of AI. See https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute
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crystallography. More information can be found on their website: https://mcb.berkeley.edu/labs/meyer/index.html What We Provide: One-on-one mentorship with a senior research scientist while working collaboratively
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develop tools for ingesting, transforming, and integrating large, heterogeneous microscopy image datasets—including writing production-quality Python code to parse, validate, and transform microscopy data
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. More information about Dr. Card and the lab’s research can be found by visiting https://www.hhmi.org/scientists/gwyneth-card About the Mechanical Engineer role: You will be a general-purpose engineer
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writing production-quality Python code to parse, validate, and transform microscopy image data from published research papers, public databases, and internal repositories. This role requires technical
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defined the cell types and mechanisms that instruct peripheral regulatory T cell development and tolerance to the gut microbiota (https://www.nature.com/articles/s41586-022-05309-5 ) and identified
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implementing novel and innovative tools, technologies and approaches to fundamental problems in systems and circuit-level neuroscience. For more information about the lab check out: https
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-world scenarios. Strong programming skills in Python, PyTorch, and/ or JAX are required, along with the ability to reason about neural network behavior from first principles. The role also requires
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ensure models can be deployed in large data real-world scenarios. Strong programming skills in Python, PyTorch, and/ or JAX are required, along with the ability to reason about neural network behavior from
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into natural environments to track plants’ remarkable capacity to optimize development to their surroundings now and in the future. More information about ongoing research can be found on our website: https