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, engineering, data science, and computer science. Skill Development: Our extensive qualification concept goes beyond research, offering targeted training in research methods, project management, and leadership
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of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling
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aspects include rough paths and subsequent developments for nonlinear stochastic partial differential equations. The theory of signatures and rough volatility also provides important connections to algebra
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. Expected qualification: High motivation and commitment to scientific excellence Above-average Master Degree / Diploma in engineering (chemical engineering, biochemical engineering, or related engineering
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(e.g. econometrics, statistics) interest in natural resources, agriculture or the general food system and related technology a high motivation and the ability to work independently with a strong team