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engineering, advanced microscopy, and machine learning. Our goal is to develop a protein biosensor optimization pipeline that integrates high-throughput functional screening with predictive deep learning
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screening with advanced machine learning to engineer genetically encoded fluorescent biosensors faster and more effectively than ever before. These biosensors enable researchers to visualize metabolic and
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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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various support duties, including: Maintaining media stocks Ordering scientific lab supplies Maintaining equipment General lab upkeep and cleanliness Regularly participate in lab meetings and learn about
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. Experience in a research environment preferred. Advanced computer skills including MS Office, Adobe Acrobat, and other technologies as needed. Superior ability to communicate information and ideas effectively
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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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materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests
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seminars, led by members of our learning and organization development team. Opportunities for professional development, career growth, and direct mentorship from Dr. Gadagkar. Opportunities to learn new
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provide: A competitive compensation package with comprehensive health and wellness benefits. Exposure to outstanding science and the opportunity to grow your research skills by learning new techniques
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the highly dynamic and vibrant Columbia/Zuckerman Institute research community. Full access to HHMI’s on-demand training courses and interactive skill-building seminars, led by members of our learning and