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provide a unique opportunity for PhD research and training in modern plant science. Understanding the fundamental processes of how plants grow, reproduce and interact with the abiotic and biotic environment
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regulation of chemical reactions and processes. RESOLV’s mission stretches from fundamental research to the translation into applications such as green technologies or smart sensors. We offer two training
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international research environment covering a wide variety of research areas, such as algorithms and data structures, machine learning, computer graphics and vision, database systems, artificial intelligence
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least three years plus preparatory studies for the PhD of usually three semesters For international degrees, the equivalence will be judged during the application process. Candidates who have to follow
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sufficient demand. Mode of study Less than 50% online Programme duration 7 semesters Beginning Only for doctoral programmes: any time Application deadline For detailed information on the application procedure
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optimal conditions for their successful doctoral degree and beyond. Doctoral researchers at GS SimTech: Have at least two supervisors from different subject areas Benefit from a second, external reviewer
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of one of the two annual PhD selection processes may begin doctoral work at any time during the following six months (usually 1 September of the same year and 1 March of the following year). The duration
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Training: Conduct Silvaco TCAD simulations (fabrication processes, device modeling, and circuit-level simulations) . Experimental Work: Participate in cleanroom processes, device fabrication, and electrical
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semester Application deadline Our online application platform will open on 25 August 2025. The closing date for applications is 7 October 2025. More information about the timeline of the application process
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traction as a key tool for biodiversity monitoring. However, there remain significant challenges in its widespread uptake. This project will investigate the soundscape features that indicate intact and