25 machine-learning-phd positions at HHMI

  • HHMI | Campus, Illinois | United States | about 6 hours ago

    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

  • HHMI | United States | about 6 hours ago

    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

  • HHMI | Campus, Illinois | United States | 2 months ago

    ) 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

  • HHMI | Stanford, California | United States | about 6 hours ago

    coordination and environmental plasticity. The team member will be an integral member of our team whose responsibilities will be to provide general lab support to the team (50%) and to work directly with PhD

  • HHMI | Campus, Illinois | United States | about 6 hours ago

    spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed—ideally a creative use

  • HHMI | Columbia, South Carolina | United States | about 6 hours ago

    to present research findings, learn about the latest advances in the field, and develop a scientific network. What you bring: A PhD in the life sciences is required. Focus on biochemistry, particularly protein

  • HHMI | Campus, Illinois | United States | 2 days ago

    spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed, ideally a creative

  • HHMI | University Place, Washington | United States | about 6 hours ago

    to present research findings, learn about the latest advances in the field, and develop a scientific network. What you bring: A PhD in the life sciences, computer science or applied mathematics is required

  • HHMI | Austin, Texas | United States | about 2 months ago

    implications for agricultural sustainability in a changing climate. Learn more about the Torii Lab here: https://www.plant-stomata.org/ About the Role This role is approximately 80% research-focused and 20

  • HHMI | Yale, Illinois | United States | 22 days ago

    interdisciplinary thinking. Opportunities to learn and collaborate through Dr. Rodriguez’s affiliation with Yale’s Wu Tsai Institute . What you’ll do: Design and build a state-of-the-art deep-tissue imaging platform

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