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AI / ML Research Scientist - New Algorithms for Cryo ET
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- As an extension of the Chan Zuckerberg Initiative's Imaging Program , the CZ Imaging Institute aims to push forward the development and application of new imaging technologies over the next 15 years to obtain deep insights into the architecture of complex biological systems at the molecular level.
- The Chan Zuckerberg Imaging Institute is seeking an experienced AI/Machine Learning Research Scientistto support the New Algorithms for Cryo ET Team Leader to create innovative algorithms that address specific challenges in computer vision, interpreting and enhancing Cryo-EM data while developing a robust framework to guard against over-interpretation.
- Develop and apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in biological imaging such as increasing contrast of images, resolution of images, and throughput of data.
- Bridge information from alternate modalities, like protein language models, to decode Cryo-EM data.
- Hands-on experience with deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) and a solid understanding of neural network architectures for tasks like image recognition, segmentation, and generative modeling
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