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Previous Job Job Title Post-Doctoral Associate - Department of Ecology, Evolution & Behavior Next Job Apply for Job Job ID 369573 Location Twin Cities Job Family Academic Full/Part Time Full-Time
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development. We offer A state-of-the-art laboratory environment. A versatile and challenging academic position with very diverse contacts in a world-class research environment operating at an international
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frameworks (e.g. PyTorch). Experience analyzing single-cell, bulk sequencing, or other biological data. Experience in algorithms and good software development practices. Good communication skills. About the
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. Develop algorithms for archiving sea surface temperature data in Group for High Resolution Sea Surface Temperature GDS 2 format. Job Related Minimum Required Education and Experience Requires a Doctoral
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Department: Engineering Technology Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops
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by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational
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opportunity to contribute to cutting-edge research at the intersection of artificial intelligence, machine learning, and healthcare. The successful candidate will develop and apply advanced machine learning
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large quantities of data to gain a greater understanding of our systems and develop data analytics and artificial intelligence algorithms. You will be actively engaged in the research and development
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 hour ago
measurements while making new types of measurements that further describe aerosol and cloud properties. Validation of these new measurements is a challenge, requiring the development of alternative
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, engineers, and researchers in an effort to develop medical automation research solutions. You will support various engineering and computer science aspects of research projects focused on optimizing combat