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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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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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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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to train staff in experimental and computational NGS pipelines, coordinate data management with the Texas Advanced Computing Center, and contribute to a positive, inclusive, and collaborative lab culture
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they continue to investigate. Approaches include genetics, spatial genomics, single-molecule biophysics, super-resolution imaging, computational modeling, and structural studies including X-ray
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-driven scientific initiatives. In this position, you will be responsible for developing and maintaining the computational infrastructure essential for AI-powered biosensor optimization. You will
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, communication, and computer skills, with attention to detail. Strong self-motivation with excellent time management and organizational skills. Passion for science and continuous education, actively seeking
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information about the Freeman Hrabowski Scholars Program, please visit: 2025 Freeman Hrabowski Scholars | HHMI What We Provide Deep expertise in ferroptosis and redox biology through hands-on experimental work
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, at Harvard Medical School studies the molecular basis of sensory transduction, using cryo-electron microscopy (cryo-EM), electrophysiology, calcium imaging, computational modeling, and behavioral experiments
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provide: Working with a team that believes in continuous learning and cultivating an environment where all members help each other. Direct mentorship from the Lead Recruitment Partner, Internship Program