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, demand uncertainty, and storage limitations. Quantify uncertainty: Apply advanced techniques to assess and mitigate market-driven performance and investment risks. Develop real-time control schemes: Design
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time and handle uncertainty. Artificial Intelligence (AI) may be of critical help here. This PhD project aims to develop a hybrid AI framework for quality control in AM-based remanufacturing. You will
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asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job Description As a PhD candidate in Mathematical Statistics, you will develop novel
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Challenge: Distinguish noise and signal in data streams Change: Refined asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job
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on quantitative analysis with sufficient validation. How should we collect right, timely, reliable data? How do we transfer models and data sourced from multiple, heterogeneous lifts? How do we model uncertainty
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or individual techno-economic assessment of heat storage and geothermal heat sources. One of the challenges for such an approach is the combination of subsurface (geological) heterogeneity and uncertainty with
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(geological) heterogeneity and uncertainty with the performance of various technical components of the heating systems in different climatic conditions. To address this complexity, a team of geological and
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. However, the technology is not yet fully mature, which creates technical, economic, and scale-up risks during implementation. These uncertainties result in higher-than-expected costs and limit widespread
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. However, the technology is not yet fully mature, which creates technical, economic, and scale-up risks during implementation. These uncertainties result in higher-than-expected costs and limit widespread
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candidates and close to 3000 BSc and MSc students apply aerospace engineering disciplines to address the global societal challenges that threaten us today, climate change without doubt being the most important