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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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pioneering research center in Ashburn, Virginia, where scientists pursue fundamental questions in the life sciences. Our integrated teams of biologists, computational scientists, and tool-builders innovate
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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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process within scientific discipline. Investigates, creates, and develops new methods/technologies for project advancement. Maintains high level of professional expertise through familiarity with scientific
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University and offers a highly collaborative environment with access to state-of-the-art genomics, imaging, computational, and experimental resources. Learn more about the lab at https://www.limmunity.com
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at Harvard Medical School. The lab uses methods in molecular virology and structural biology to study how viruses interact with cellular receptors and how neutralizing antibodies can block these interactions
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levels (GLP-1 receptors), and immune responses (histamine receptors), among others. The lab seeks to understand the molecular mechanisms underlying GPCR function by applying methods in biochemistry
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, to record and manipulate neuronal activity in behaving animals with high spatiotemporal precision. By combining these cutting-edge optical methods with electrophysiology and quantitative behavioral paradigms
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of, mechanical and electronic-circuit design, alongside fabrication methods (3D-printing, laser cutting, etc.) is expected. Strong candidates will also have software experience with coding in Python, C++, and
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pounds (such as bags of sand, a laptop computer, or a tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable