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project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality. Your key responsibilities include
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training opportunities within the Zalf doctoral program and the Biodiversity Exploratories supervision by two research groups at ZALF (Sustainable Grassland Systems, Root-Soil Interactions
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06.02.2026, Academic staff The Laboratory for Ethics of Artificial Intelligence and Neuroscience at the Technical University of Munich (TUM), headed by Prof. Dr. Marcello Ienca, is seeking
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. In addition to ongoing support from their primary adviser, doctoral candidates benefit from regular interaction with an advisory board, a cross-institutional panel that includes three or more senior
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Communication and Learning-based Control for Embodied Networked Intelligence (6G-life) (ID: TUEILSY-PHD15) Safe and capable humanoids in interaction-rich scenarios (ID: TUEILSY-PHD12) Act Based on What You See
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at the department. The main supervisor will be Prof. Dr. Kathy Lüdge from TU Ilmenau. Where to apply Website https://jobundkarriere.tu-ilmenau.de/jobposting/80cd5964173be4cf2a6646500503798… Requirements Research
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farm management through innovative sensing technologies, advanced modeling, and intelligent automation. This PhD project contributes to PhenoRob’s initiative to develop digital twins, i.e., high-fidelity
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 2 days ago
TU Dresden or UCL may attend online. Application deadline See our website (https://imprs-coni.mpg.de/application-dates) for further information. Tuition fees per semester in EUR None Combined Master's
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for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and farm management through innovative sensing technologies, advanced modeling, and intelligent automation
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
self-assemble from a number of interacting single-stranded DNA molecules. An accurate prediction of DNA structures still remains difficult, which significantly slows down the development of new desirable