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excellence in data engineering and the ability to communicate clearly and proactively with collaborators who contribute multimodal microscopy data to the project. Your work will directly support computational
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multidisciplinary teams of computational and experimental scientists to define and implement best practices in data engineering, ensuring data quality, accessibility, and reproducibility. You'll maintain detailed
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of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code
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the body during development and how defects in these processes can lead to birth defects and cancer. We use cell biological, genetic, biophysical, computational, and live-imaging approaches to visualize cell
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use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for microscopy image analysis are especially relevant. Include a link
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engineering, including multiphoton microscopy and wavefront shaping. Using these novel imaging tools, the lab seeks to advance our understanding of previously underexplored biology, while contributing
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join the Henry Lab at the Massachusetts Institute of Technology (MIT), led by Dr. Whitney Henry, an HHMI Freeman Hrabowski Scholar. The Henry Lab investigates the fundamental biology of ferroptosis
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engineering. The position aims at developing qualifications and experience in computational research and professional software engineering in a research environment that enables the candidate to pursue
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imaging. Through collaborations, we use cryo-electron microscopy and cryo-electron tomography for structural studies. For more information about Dr. Samara Reck-Peterson and the lab, please visit: https