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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. Projects in computer vision
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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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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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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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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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, microtome, antibody staining) Engineering (CAD/3d printing, microcontrollers, signal processing) What you bring: A Ph.D. in neuroscience, bioengineering, or related field of science. Advanced experience in
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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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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
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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