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Australian National University | Canberra, Australian Capital Territory | Australia | about 19 hours ago
, even when they might appear conflicting. This project aims to forge an advanced framework uniting data science, machine learning, simulation, multi-objective optimization, and uncertainty-based
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Python Fluent written and spoken English (at least C1 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate confirming the language level Team-oriented
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bulk polymer networks. Your work will be supported by an international interdisciplinary research team. Some of your specific tasks are in detail: Contribution to the optimization of material
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, aiming to identify efficiency-limiting recombination and defect-related effects. Preparation of electron-transparent TEM lamellae and specimens Operation and optimization of ultrafast laser systems
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development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high shares of renewable energies and increasing
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to ensure efficient and stable biogas production. At the Department of Molecular Sciences, research is conducted both on process operation and optimization and on process microbiology, often in close
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kinetics, or data-driven optimization of chemical processes. What you will do Take courses at an advanced level within the Graduate school of Materials Science or Chemistry Develop your own
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collaboration of the Air Quality and Emission Optimization group at the Institute of Climate and Energy systems (ICE-3) at Forschungszentrum Jülich and the group working on Methods for Model-based Development at
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<span lang="en">Helmholtz-Zentrum Dresden-Rossendorf e. V.</span> | Dresden, Sachsen | Germany | about 24 hours ago
Brayton cycle based on literature and experimental results
- Simulation and optimization of the operating behavior of flexible energy systems with integrated sCO2 cycles, including control and
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Health and Optimization Methods, which will enhance the university’s national footprint in digital health and optimization methods. This position will help support interdisciplinary collaborations in