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17.07.2025, Wissenschaftliches Personal The Chair of Software Engineering & AI is searching for a new doctoral research associate (TVL-E13) in Generative Engine Optimization. Research focus
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representations. • Computational efficiency: Designing adaptive and physics-aware strategies (e.g., optimized residual selection, physics-based zooming) for real-time inference. • Practical usability: Developing
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predictive simulations, real-time control, and process optimization. You will work on the development of deterministic population balance models, conduct single-crystal and batch crystallization experiments
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representations. • Computational efficiency: Designing adaptive and physics-aware strategies (e.g., optimized residual selection, physics-based zooming) for real-time inference. • Practical usability: Developing
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), and joint optimization—impact the model's accuracy, robustness, and generalization capabilities? Can fine-tuning a pretrained model like CLIP on domain-specific data (e.g., automotive or travel-related
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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity
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of stochastic modelling, optimization, and data analytics. The position is available from January 2026 and is fixed for a term of 3 years, with the possibility of extension. As part of this role, candidates will
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optimizing their properties for 3D bioprinting of different tissues. PhD topic 2: The research project addresses the possibilities to manipulate the thin film morphologies of block copolymers having charged
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processing - Study actin-based processes critical for health and disease using the cryo-ET workflow, from cell sample preparation and optimization to imaging and data analysis - Use computational tools for in
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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods