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estimations of the same person. The research will be based on recent spherical representations such as UniphorM. - Activity 2: Integrate both object and person detection in the control of collaborative robot
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Annual Basis: 9 Month Review of Applications Begins March 16, 2026; position open until filled Special Instructions to Applicants Apply online at https://www.mathjobs.org/jobs/list/28124 (link opens in
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Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better
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stylized quantitative representations of political and institutional processes, and then incorporate them into (or couple with) global and subnational energy models to study core policy questions related
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Posting Summary Logo Posting Number RTF00024PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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to benefit from local knowledge and prevent further escalation of conflict. For more details on the project, please see here . About the position: The Postdoctoral Researcher will have the following tasks
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 25 days ago
and outgoing longwave radiation at the top of atmosphere. Increased knowledge of radiative transfer in the Earth‘s atmosphere, and therefore the energy imbalance, is needed for understanding the climate
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strains Co-representation and reporting of BPL results in consortium meetings Co-coordination of tasks with all consortium partners Profile PhD in molecular biology, microbiology or industrial biotechnology
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architecture and design for complex socio-technical systems Graph theory, network science, and knowledge representation Agent-based and simulation modeling AI/ML, foundation models, causal inference, and
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skills: Good knowledge of ML/AI based techniques to develop fast surrogates (deep neural networks) and capability to develop own efficient model learning schemes (deep learning techniques, representation