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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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focus on synthetic biology, biochemistry and/or chemistry. • Practical experience in protein engineering (structural and sequence design), bacterial production (S1 lab conditions, E. coli), protein
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staff position within a Research Infrastructure? No Offer Description Work group: Interface Design Area of research: Promotion Job description: Reference No. SE 2025/23 The Department Interface Design is
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by cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we
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abilities while empowering everyone to reach their full potential. TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation
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of tackling these challenges through cutting-edge interdisciplinary research and innovation. REUNATECH brings together leading universities, research institutes, and industrial partners across Europe to deliver
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of tackling these challenges through cutting-edge interdisciplinary research and innovation. REUNATECH brings together leading universities, research institutes, and industrial partners across Europe to deliver
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significantly slows down the development of new desirable nanostructures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA
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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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reuse of energy systems analysis processes. In line with FAIR and Linked Open Data principles, you will design interfaces that enable the smooth processing of big data in the context of scientific, AI