81 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"SUNY" positions at HHMI
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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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systems behind groundbreaking science. Collaborative Team Environment: Join a team that values continuous learning, knowledge sharing, and mutual support. Competitive Total Rewards Package: Comprehensive
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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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or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated
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microscopy, and machine learning. Our goal is to develop a protein biosensor optimization pipeline that integrates high-throughput functional screening with predictive deep learning to accelerate the directed
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understanding. Candidates who demonstrate responsibility, initiative, and a strong drive to learn and succeed in a collaborative environment are especially encouraged to apply. Ideal candidates should be
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by collecting relevant data from 2D, 3D, or 4D images. Perform computer automated analysis and quality control on large data sets. Liaise effectively with other groups at Janelia to manage multiple
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. Able to learn complex tasks with instruction, and to use experience to perform a variety of new techniques. Actively seeks opportunities to increase skills and expertise. Physical Requirements Remaining
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for a robust 12-week learning opportunity and work alongside us on various projects, initiatives, and tasks related to recruitment, process improvement, and the employee experience. This is a full-time
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feedback during vocal behaviors. Memory and learning during offline periods (sleep). Long-range neuronal communication and stroke. Brain-machine interfaces to enhance learning and performance of complex