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and ground), and boasts expertise in controlling and deploying them in practice, as well as in designing coordination strategies for them. Our recent work on ML-based co-optimization demonstrates some
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and concerns about the dominance of the highly educated. Against that background, this PhD project aims to achieve a better understanding of the particularities of education-based status processes by
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2025. No late applications will be accepted. Please note that an appointment to posts advertised will be dependent on University approval, together with the terms of the employment control framework
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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12 months prior to application Good command of English (German is not required) Willing to relocate to Germany for the duration of the position We offer Working in the socially relevant field
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Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring
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techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will
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preparation and laboratory analysis including plant and animal tissues, water and soil; glassware washing; documentation of analytical results and quality control; general group and laboratory operations tasks
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grades in all components good command of English aptitude for academic work Organizational and communication skills as well as the ability to work in a team, flexibility and initiative Our offer
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growth curve models, staggered difference-in-differences) to analyse post-divorce economic trajectories. Synthetic control methods may be employed to establish causal relationships. Application Procedure