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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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research. We are a collaborative and interdisciplinary team and there is ample opportunity to learn new techniques and be involved in exciting science using cutting-edge techniques. The lab is a part of the
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play a key role in shaping how newly formed departments communicate and operate across the organization. Hands-on experience in communications and project work, perfect for someone eager to learn, grow
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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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-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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requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Work may involve possible exposure to malodorous vapors, low dose radiation
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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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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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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