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to Janelia from the Washington D.C. metro area. What you’ll do: Lead the engineering architecture and development of next-generation FlyMAX systems, integrating robotics, computer vision, and AI-driven control
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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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or free moving animals. Fluency with programming in Python and/or Matlab. Experience with small animal surgery and animal handling. Strong interest in visual perception or embodied cognition. Good command
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, machine vision, AI/ML systems, or autonomous control to join our collaborative neuroengineering efforts. This person will build AI-driven robotic systems for high-throughput brain imaging and behavioral
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information and control behavior in mice and songbirds. We place particular emphasis on advanced optical approaches, including multiphoton microscopy, Bessel-beam imaging, and closed-loop patterned stimulation
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, neuroscience, biology, mathematics, or a related field. Proficiency in Python or Julia (Matlab preferred) and strong debugging skills. Experience using GitHub for version control and organizing/publishing
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written materials (e.g. speaking points, bios, statements, or brief summaries) that reflect the Principal Investigator’s voice and uphold professional and institutional standards. Editorial Quality Control
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implementation; data collection, entry and quality control; literature reviews and data analysis for preparation of manuscripts and/or conference presentations, and writing conference abstracts and manuscripts
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://stomata.stanford.edu/ We are looking for a highly motivated individual who is passionate about science and wishes to contribute to furthering our understanding in new areas in gene regulation, cell size control, tissue
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receptors (ORs) lays the groundwork for the rational design of novel classes of insect repellents to control human disease vectors, and to engineer synthetic diagnostic “noses” to detect human disease