2,434 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" Postdoctoral positions in United States
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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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network modeling to address real-world policy challenges through algorithm development and technical analysis. Key Responsibilities Conduct original research in generative AI Train and supervise graduate
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 10 hours ago
applicability to the design, development, and science return of space science missions. There is growing interest for the tools and practices of uncertainty quantification to be used to inform the engineering
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on a rolling basis until the position is filled. Areas of research include infant motor skill development, infant-caregiver interaction, and the dynamics of body-environment relations. The lab uses
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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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Description Job Responsibilities: - Develop and validate ant-derived DNA barcoding protocols to detect and identify invasive arthropod pests - Conduct population genetic and genomic analyses (e.g
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advanced synchrotron X-ray techniques. The successful candidate will be at the forefront of integrating cutting-edge AI methodologies with world-leading X-ray characterization. You will develop and apply
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developing or applying parallel algorithms and scalable workflows for HPC resources. Experience developing or applying privacy-enhancing technologies such as federated learning, differential privacy, and
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projects examining the protective role of high-density lipoproteins in these biological pathways and processes, with the goal of developing novel lipoprotein-based therapies for perioperative protection
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that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute