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machine learning. The project aims to develop AI methods for mesoscale structural biology, understanding how cellular macromolecules organize into higher-order structures. You will work in a team at Janelia
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meetings and read literature applicable to the research area Analyze data using standard and machine learning algorithm Maintain a lab notebook of raw data and organize data for analysis by senior lab
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how T lymphocytes acquire functional properties during development and in response to distinct intestinal microbiota and dietary antigens that influence systemic inflammatory processes (e.g. T cell
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original work at scientific meetings. A team that fosters continuous learning and cultivates an environment of collaboration. Opportunities for professional and educational development and growth, including
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Administrative Research Technician in the systems neuroscience laboratory of Dr. Ilana Witten at Princeton University. The lab studies the neural circuitry underlying learning and decision-making, using
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members of the group help each other. Opportunity for growth as a software developer in areas such as CUDA programming, analysis of neural data, machine learning model applications, and real-time
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pounds (such as a laptop computer or tablet). Work may involve possible exposure to malodorous vapors, low dose radiation, contamination by toxic chemicals and acids and presence of carcinogenic substances
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/multithreading) languages. Experience with real-time programming. Experience with machine learning, big data, signal processing preferred. Experience in solving complex problems independently. Good communication
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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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systems behind groundbreaking science. Collaborative Team Environment: Join a team that values continuous learning, knowledge sharing, and mutual support. Competitive Total Rewards Package: Comprehensive