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Field
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or more of the following topics: numerical methods for (partial) differential equations. optimization or inverse problems. data assimilation or uncertainty quantification. agentic and generative AI. solid
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will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance
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will feed into an automated stope design workflow, producing variable-length, locally adaptive geometries that optimize the balance between stability, recovery, and dilution control. Through
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transient industrial processes. Advanced dynamic models will be developed to simulate system performance, optimize control strategies, and evaluate system response under realistic operating scenarios
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
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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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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 into an interdisciplinary research environment given by
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dynamics of present logistic processes and networks. By exploiting new technologies, business models and strategies, new dynamic planning and control processes will be researched and developed. The objective
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utilisation or lead to sub-optimal use. Secondly, it will take a critical look at the information needs and the availability of the information needed to develop different product categories or allow specific
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on the development, pathophysiology and control of the cardiovascular system as well as exploring causes, consequences and therapeutic approaches for cardiovascular diseases. The research spectrum of this programme