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21.09.2026, Academic staff The Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich (TUM) is seeking a PostDoc (m/f/d) for “Safe and Networked Control
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Divergence (MIND) approach for estimating structural similarity networks, which enables robust structural brain networks to be derived from T1-weighted images alone and has already been shown to be sensitive
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. This project is funded by the European Space Agency (ESA) and is and is fixed-term for 24 months. The project “TMNT – Threat Monitoring Networked Team” will develop multi-robot scouting approaches to explore and
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Posting Description POSTDOCTORAL ASSOCIATE, Civil and Environmental Engineering, will carry out research to develop methods to estimate the economic and environmental impact of pavements and
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connectivity and potential flows of individuals along the network structure of watercourses. - Comparison of model estimates with existing data on the relative selective value of clones/species, in order to
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Epidemiology of Malaria), led by Aimee Taylor. Using simulation-based inference (SBI) with deep learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum
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Position overview Position title: Postdoctoral Scholar Salary range: See Table 23 for the salary range for this position. A reasonable estimate for this position is $71,491-$85,736 Percent time
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Semiconductor Manufacturing and Research Technology Innovation Corridor (NY SMART I-Corridor) Tech Hub initiative, the Center for Supply Chain Analytics leads the Supply Chain Activation Network (SCAN) project
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 12 days ago
regions where ground radar and gauge networks are sparse. In the reverse direction, high-resolution precipitation fields (e.g., MRMS) provide spatially distributed validation for fine-scale soil moisture
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field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical skills in distributed AI/ML, networked systems, data management, and