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                Infrastructure? No Offer Description Area of research: Promotion Job description: Your Job: Analysis of market dynamics in the context of Innovation Ecosystems and Diffusion Theory Systematic integration 
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                ,Y,La ),(Al,Ga,In)]N. Ferroelectric electro-optical switches shall be developed. The work will be in close collaboration with the PhD student working on fundamental solid-state theory of the same 
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                status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Please submit your detailed application with the usual documents (Curriculum Vitae, cover letter, list 
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                : Master in physics, computer science or comparable fields Good knowledge of quantum theory, ideally quantum information theory Organizational and communication skills Ability to work independently in 
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                doctorate Very good knowledge of quantum theory and solid-state physics Experience and interest in computer programming Pronounced organizational and communication skills Self-organized and independent work 
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                status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Please submit your detailed application with the usual documents (Curriculum Vitae, cover letter, list 
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                shall be developed. The work will be in close collaboration with the PhD student working on fundamental solid-state theory of the same materials. Your tasks Your job tasks includes the following 
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                . The unique and internationally competitive doctoral program provides cutting-edge methods and advanced theories in in the hub science Psychology of Transformation as well as the following five 
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                are collaborating in ScaDS.AI on advancing a broad spectrum of AI. The spectrum of available topics ranges from core areas of AI Theory, Hardware, Mathematic foundations, AI applications to societal aspects of AI 
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                tunnel testing and statistical modelling using extreme value theory, the project will yield predictive frameworks for structural risk under rare yet damaging wind conditions. The results will support