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Field
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-critial vibrations from sensor data, enabling data-driven optimization of machining processes. You will also implemet ML algorithms for additional use cases, acceleration workflows and enhancing
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prediction or even ecological life cycle assessment. Optimizing manufacturing processes for turbomachines especially aeroengine components are major focus area of the department. Previous research has shown
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with OSL: Use OSL to implement the PPTBF algorithm in 3D environments: like a couple of point process, feature function and window function. Optimize Procedural Algorithms: Develop more efficient methods
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at https://www.linkmetabolism.com . Your tasks: Engineering and optimization of microbial strains for cyanophycin production using thermo-switches and CRISPR-based tools. Integration of targeted and
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13.03.2026, Academic staff A fully funded PhD position (initially 75% TV-L E13, increasing to 100% TV-L E13 after 8 months) is available at the Professorship of Optimization and Sustainable Decision
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in Computer Vision • Experience in nonlinear Optimization The weekly working time is 10-20 hours. The position is initially limited to three months, an extension is intended. We value and promote
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considerations from a data analysis and instrument optimisation perspective. Teach users how to operate imaging devices Understand image formation processes to design methods for optimal information retrieval from
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-time employment (currently 38.7 hours/ week.). Data-fusion approach for grid-code aware control and optimally allocated fast frequency regulation of Hybrid Power Plants for Marie Skłodowska-Curie Actions
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) Development of deposition processes using PVD and/or electrochemical deposition (ECD) Optimization of doping and annealing processes to maximize thermoelectric performance (ZT) Structural and electrical
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Processes (MDPs) and stochastic dynamic programming Risk-sensitive and robust optimization Learning-based approaches (e.g., reinforcement learning, inverse learning) Numerical validation using real-world