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22 Jul 2026 Job Information Organisation/Company Centre for European Policy Studies Department GRID Research Field Economics » Economic policy Political sciences » Public policy Juridical sciences
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transfer and stacking of 2D materials to achieve twist angle control Qualification and Requirements: • The candidate should have a PhD degree. • The candidate should have a strong track record in 2-D
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of significantly improving power density, durability, and cost-effectiveness of flow battery systems for grid-scale energy storage. This role is ideal for a candidate with strong hands-on laboratory skills and an
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. Experience with land-surface models, micro-meteorology, Earth system modeling, and/or satellite remote sensing is an advantage. Experience with fieldwork in challenging environments is an advantage. Language
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the problem worth your year. Other Info For US Remote/Hybrid: This position requires access to export controlled information. To conform to U.S. export control regulations applicable to that information
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 8 hours ago
in real time. Our multidisciplinary approach integrates high-resolution imaging with cutting-edge genomics (CUT&RUN, Micro-C, Hi-C), proteomics, and CRISPR/Cas9 engineering to address the most pressing
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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
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an empirical causal inference framework that combines cross-country panel econometrics with micro-level research evidence. Planned activities: (i) critical literature review; (ii) development of the structural
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- 21577 - SOM-IMM MICRO GENERAL OPER Schedule : Full-time Posting Date : Jul 20, 2026 Unposting Date : Ongoing Posting Contact Name: Jenna Guthmiller Posting Contact Email: [email protected]
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, computer graphics, and embodied AI, including physics-based simulation, character animation, motion synthesis, and learning-based control for humanoid systems. Key Responsibilities: Conduct independent and