72 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at HHMI
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microscopy, and machine learning. Our goal is to develop a protein biosensor optimization pipeline that integrates high-throughput functional screening with predictive deep learning to accelerate the directed
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adept at computer programming, has a strong command of statistical data analysis and data visualization, who will work as a Computational Biologist. As a Ph.D. Data Scientist, you will join a dynamic team
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feedback during vocal behaviors. Memory and learning during offline periods (sleep). Long-range neuronal communication and stroke. Brain-machine interfaces to enhance learning and performance of complex
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Scientist to join the Aso Lab at the Janelia Research Campus. The Aso Lab is a team of interdisciplinary scientists investigating the mechanisms of learning by studying the neural circuits of the mushroom
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implement algorithms for machine vision, adaptive control, and real-time learning to support fully autonomous experimentation. Document and share new designs, workflows, and analytical tools with the broader
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biology for more than 15 years. Its forward-thinking structure, centralized funding, and collaborative culture make it ideally suited to take this bold leap forward. To learn more about the initiative
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to learn, grow as an administrative professional, and be mentored. Joining the vibrant University of Washington research community. A competitive compensation package with comprehensive health and wellness
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efforts in a variety of ways. To be successful, you will need to be a good communicator, and be flexible, hard-working, organized, and eager to learn. You should be proactive in your approach to work and
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for a robust 12-week learning opportunity and work alongside us on various projects, initiatives, and tasks related to recruitment, process improvement, and the employee experience. This is a full-time
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compensation package, with comprehensive health and welfare benefits. An opportunity to broaden research experience in a collaborative environment. A team that believes in continuous learning and cultivates