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Field
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developments in MCF, component and subsystem design and implementation, and the practical engineering aspects of MCF-based systems and networks. With the collective expertise of all partners, MATCH stands as a
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dimensions of media work. The ideal candidate also likes nature and enjoys outdoor activities. Additionally, if you are a nature lover, we have great news for you: In the final year of your PhD, you will
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. Proficiency in MS Office programs, particularly Word and Excel; additional knowledge of Origin and MATLAB is preferred. English communication skills, both oral and written is required. Additional scientific
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possible in the field of energy storage. We invite applications for a fully funded PhD position in Thermal Energy Storage (TES), Industrial Energy Systems, and Artificial Intelligence at the Thermal Energy
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
nano-structures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA nanoconstructs. The primary goal is to build an AI
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with TMS at specific oscillatory states and measure the subsequent network response with fMRI in the context of different cognitive paradigms. What you’ll be doing Conducting data collection and analysis