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develop tools for ingesting, transforming, and integrating large, heterogeneous microscopy image datasets—including writing production-quality Python code to parse, validate, and transform microscopy data
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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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infrastructure. You'll build a large-scale foundational microscopy image dataset and develop scalable data processing pipelines. This includes collaborating with internal and external partners on data sharing and
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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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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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meetings and read literature applicable to the research area. Help with lab organization, including accurate documentation and recording/maintenance of large data files. Assist with other support duties
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Work collaboratively with research scientists to design and implement computational workflows for analyzing large-scale biological datasets Perform quality control on raw experimental data and preprocess
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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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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