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promising lean alloy system for additive manufacturing, as the mechanical properties can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried
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-to-X systems using high-temperature electrolysis (SOEC). The developed methods will serve to optimise the operation of SOCs for hydrogen production both technically and economically and improve tolerance
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well as cooperation of science and economy. GSaME offers the optimal conditions for graduates to earn the titles of Dr-Ing and Dr rer pol. Young scientists have the opportunity to be integrated
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to the different fields of research Annual proposal defences guarantee regular feedback and involvement of the candidate’s second supervisor in the research process Obligatory presentation of a competitive paper at
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to work in. Research groups: Computational Neurosciences Computer Graphics and Ecological Informatics Computer Networks Computer Security Databases and Information Systems Data Fusion Data Science
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Development: Develop and optimize biopolymer-based fiber spinning processes (e.g., dry-jet wet spinning, core shell fiber spinning) using materials such as cellulose and proteins. Establish and refine
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promising solution to support such a demand by getting inspired by the brain’s powerful and energy-efficient processing capabilities. MINDnet aims at addressing the challenge through a holistic optimization
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biological models. This position involves the optimization, and operation of an innovative multimodal microscope, as well as close collaboration with experts in the biological sciences for its application
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programme offers comprehensive training to both national and international doctoral candidates in various aspects of cardiovascular science. From cardiology to vascular and cardiac surgery, including
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are employed to decipher the genetic programs that govern the connectivity of brain regions and play a role in neurological disorders when these processes are disrupted. We look forward to receiving your