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Field
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software ● Minimum 1-year experience in machine learning methods Knowledge, Skills and Abilities: ● Excellent communication skills (written and oral) using the English language
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colleague is valued and empowered to thrive. Our dedication to these values ensures that we foster a culture of mutual respect, open collaboration, continuous learning, and innovative thinking. Join us at
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for partial differential equations (PDEs) structure-preserving and data-driven reduced order modeling scientific machine learning In addition to research, the postdoctoral researcher will engage in mentoring
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Posting Summary Logo Posting Number RTF00237PO25 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156385 Business Title (Internal Title) Post Doctoral
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] Subject Area: Statistics and Machine Learning Appl Deadline: 2025/12/01 11:59PM (posted 2025/09/04, listed until 2026/02/01) Position Description: Apply Position Description The Department of Mathematics
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research articles and present results at scientific meetings. (30%) • Assist in the development of proposals for external funding for research projects. (5%) Requirements • A PhD degree in physics, chemistry
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to learn new skills/tools is important for success in this position. The postdoctoral scholar is expected to have completed a PhD in any of the following areas: RF/microwave engineering, theoretical physics
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, atmospheric signals), data fusion across sensing modalities, and development of scalable machine learning pipelines. Work will be entirely computational and based in Seattle, with no field deployment
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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(CAVs) Traffic control and signal optimisation Navigation and routing strategies Operations research and network optimisation Big data analytics and machine learning Mōu | Who You Are To be successful in