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Field
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designed by mathematicians on the team • Interface with mathematicians and applied computer scientists to demonstrate the viability of novel neural networks on challenging benchmark datasets/problems using
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employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more
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questions about how AI can be developed and deployed to serve humanity and augment human intelligence in ways that improve human well-being. The candidate will help design and execute studies (online/lab
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 24 hours ago
accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is
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Care Policy at Harvard Medical School seeks an experienced postdoctoral fellow with a specialty in health economics to lead and collaborate on studies related to payment system and market design under
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; Participate in and lead components of proposal development and external grant submissions; Design and provide technical assistance, facilitation, and coaching products and services; Contribute to the design
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solving Attention to detail Interpersonal skills Collaboration Computer skills Required Documents Resume/CV Cover Letter Comprehensive Benefits Package: Coverage begins on day one for health, dental, and
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architecture design and deployment experience High-performance computing and large-scale data analysis Background in neural density estimation and advanced ML techniques Position Details Duration: 3 years
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employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more
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design, data interpretation, and integration of genomics data into translational research projects. Website: https://surgery.med.ufl.edu/research/research-resources/uf-surgery-genomics-core/ Expected