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soon as possible Work location: Geesthacht (near Hamburg) Application deadline: September 21st, 2025 We are looking for a highly motivated PhD candidate to investigate the interactions between wind and
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algorithms for large-scale or distributed training/Robustness, fairness, and personalization in multi-agent learning/Training efficiency and communication reduction/Distributed training of transformer models
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modification and plasma-assisted synthesis. The investigations and developments span from laboratory scale to demonstrator scale. The goal of the doctoral thesis is to develop efficient energy processes
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cutting-edge methods in chemical, mechanical, and plasma processing of metal ores for a truly circular economy. Correlating experimental, ab initio and multi-scale simulation as well as machine learning
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location: Geesthacht (near Hamburg) Application deadline: September 21st, 2025 We are looking for a highly motivated PhD candidate to investigate the interactions between wind and waves. Understanding energy
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
. Successful applicants will be offered a 3,5-year doctoral support contract with remuneration dependent on TVöD (75% E13) according to the German public salary scale, as well as postdoc wrap-up funding
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Modeling / Primate Communication (m/f/d, E13 TV-L, 75%) The position will be filled for a fixed term until June 2029. Payment is at 75% of salary scale E13. Starting date could be January 1st, 2026, but is
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at the interface of data science and the scientific domains pursued at the three participating Helmholtz centers. Methodologically, a broad range of topics is covered, from large-scale data management to data mining
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manufacturing costs of multi-junction solar cells and modules and to scale processes. Together with the department "Metallization and Structuring Technologies," we are looking for a PhD candidate as soon as
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Condensed Matter with focus on resolving the question how material structure and composition control properties and dynamics of electronic states on ultrafast timescales, and how this paves the way for novel