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Field
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collection, management, visualization, and preliminary analysis. Follow project safety procedures and maintain organized documentation. Required Qualifications Current undergraduate or graduate student in
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, collaborative work environment that can be deeply rewarding for the right individual. Further information is available at http://www.sci.utah.edu/. Research Focus of This Position This position centers
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, collaborative work environment that can be deeply rewarding for the right individual. Further information is available at http://www.sci.utah.edu/. Research Focus of This Position This position centers
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. Expertise in either scientific programming (C/C++/Python/Matlab/R) or experimental immunology (Flow cytometry, next generation sequencing) with experience in scientific data visualization (Python/Matlab/R) is
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 12 days ago
Experience in programming in a science context (e.g. LabView, Matlab, Python, Arduino), and data analysis and visualization (e.g. Origin, IgorPro) Point of Contact Mikeala Eligibility Requirements Degree
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, protein structure modelling, AlphaFold/multimer-based analyses, statistics, data visualization, and interdisciplinary work at the interface of proteomics, structures and machine learning. Track 2
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familiarity with data analysis tools Ability to work independently and manage multiple assignments with competing deadlines Commitment to 10-15 hours per week with an expected total of 60 hours per month
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application and to supporting your academic growth as a researcher in SDU Robotics. Further information Please visit us on LinkedIn: https://www.linkedin.com/company/sdu-robotics . Further information about
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not limited to the following: Qualitative and quantitative data collection (e.g., ethnographic fieldwork, interviews, surveys) and analysis. Requires close proofreading, editing, and preparation
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework