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-throughput processing for large-scale data. Excellent communication skills and keen interest in working in a truly interdisciplinary environment. Ways to stand out: Experience with cryo-EM/ET data processing
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, hands-on work. We share our methods, results, and tools with the scientific community. About the Role: Advanced imaging techniques at HHMI Janelia Research Campus produce large amounts of image data
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to Janelia from the Washington D.C. metro area. What you’ll do: Lead the acquisition and analysis of neural data as mice hunt for prey using ambiguous information in a large arena. Analyze results and present
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. Handling confidential information with professionalism and discretion. What you bring: Master’s or equivalent degree in the life sciences, PhD preferred. 5+ years working in a lab, microbiology lab
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to gain insight into how this large and highly divergent ion channel family can recognize the vast chemical world. Ongoing work, funded by generous support from HHMI, NIAID, and the Gates Foundation, is
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pipeline for learning from a large-scale microscopy dataset. You will work with expert computational scientists, data engineers, and experimentalists to train models that learn foundational embeddings
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accessing and disseminating data and related information. It provides resources, guidance, and support in the management, curation, and dissemination of large data. The Data Management Specialist will support
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of metabolism to neurodegeneration to cancer and aging. More information about the lab can be found on their website . We are targeting someone who has a strong proven track record in computational biology, is
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ensure models can be deployed in large data real-world scenarios. Strong programming skills in Python, PyTorch, and/ or JAX are required, along with the ability to reason about neural network behavior from
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orchestration, and high-throughput data processing, as well as experience working with large biological datasets in GPU-based computing environments. What we provide: A competitive compensation package, with