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accident conditions, including model verification and validation, sensitivity and uncertainty analysis, and comparison with experimental results within the framework of international benchmarks (such as NEA
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inconsistencies in video as well as audio. Where to apply Website https://www.academictransfer.com/en/jobs/364624/phd-position-on-explainable-dee… Requirements Specific Requirements An MSc degree in electrical
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agentic systems, including adversarial manipulation, uncertainty, provenance, and the validation of AI-generated decisions and actions, may also be explored as part of this position. Jarli & Jordan/ UiO via
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models for bridging knowledge gaps, data scarcity and uncertainty gaps, and governance gaps related to monitoring the environment on which humans depend. A part of this is **spatial statistics of sensor
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. These models will improve predictions of mineral alteration, scaling and long-term reservoir performance while reducing uncertainty in geothermal development. Specifically, you will: Integrate core, wireline log
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of digital twins, high-performance computing and AI/machine learning for fusion design and operation; verification, validation and uncertainty quantification for fusion safety and licensing; development
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uncertainty estimates to support reliable deployment in real-world building management systems For further information on the project you can contact your future superior: https://www.fz-juelich.de/profile
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Hydroinformatics – Uncertainty-Aware Optimisation for Robust Water Distribution System Operation The PhD candidate will develop uncertainty-aware, model-based multi-objective optimisation methods to support robust
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-uncertainty-bas… Requirements Additional Information Website for additional job details https://www.academictransfer.com/363597/ Work Location(s) Number of offers available1Company/InstituteTU
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statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision