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. Such information will aid analysis of experimental data or help establish automated image processing/machine learning pipelines. Technicians will typically be involved in at least two different projects. Please note
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) for imaging. A single-step, machine-learning based approach is then applied to automatically reconstruct the brain circuit. We have demonstrated that LICONN enables rapid data acquisition, quantitative
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original work at scientific meetings. A team that fosters continuous learning and cultivates an environment of collaboration. Opportunities for professional and educational development and growth, including
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thrives in a dynamic environment that values integrity, collaboration, continuous learning, and innovation. This position reports directly to the Director, Legal Operations, and is based at HHMI’s
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-based assays Excellent communication skills, self-motivation, and the ability to multitask in a collaborative environment Interest or experience in computational biology and AI/machine learning (highly
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professional to contribute meaningfully to the success of a world-renowned biomedical research lab. Learn more about our work → What We Provide: Join a high-powered, internationally recognized research lab
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the foundation for more effective clinical therapies and biologically inspired AI. Learn more about our work: https://sarvestanilab.com About the Role: We are seeking a highly motivated and creative Postdoctoral
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believes in collaboration, results-driven working styles, and continuous learning and cultivates a supportive environment where all members of the team can contribute and function at their highest level. A
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of its ability to provide outstanding solutions and support within the federal government space. An opportunity to evolve and grow in this new role. An organization that believes in continuous learning and
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-building seminars, led by members of our learning and organization development team. Opportunities to attend scientific seminar series and talks at Columbia on a regular basis. What you’ll do: Initiate and