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Field
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): · Hybrid Multiscale Modelling · Hybrid Physics-Machine Learning Analyses · Coupled Atmosphere-Turbine Models · Uncertainty Quantification in Hybrid Frameworks We offer the opportunity to work in a very
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There exists an inherent variability in how lithium-ion batteries fail – an event commonly referred to as “thermal runway”. This uncertainty drives additional cost and complexity into the design and
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response of flexible cables to accelerate design optimisation. Analyse and quantify model uncertainties and perform global sensitivity analysis. Delivertechnicalreportsandcontributetopeer
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applied to geospatial or geotechnical data, including model training, validation, and uncertainty quantification. Proficiency in programming languages such as Python, with experience in scientific computing
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for the CLARITY AI pipeline. Designs and implements end-to-end integration of LLM-based text processing with video generation tools. Develops guardrails to ensure factual accuracy, appropriate uncertainty
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criteria into machine-processable representations and safe clinical outputs Implement traceability, uncertainty communication, non-applicability rules and human-oversight mechanisms, and validate system
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supporting robust decision-making under uncertainty. The successful applicant will work at NTNU in Trondheim. The Department of Mathematical Sciences, NTNU, will host the PhD position. The topic of the PhD
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the uncertainty and ambiguity inherent to a research project Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society Developing tasks in a strong and
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, biochemistry, biotechnology), physics, chemistry, mathematics or a related field (If in doubt, please enquire.) German language skills No minimum language level required English language skills No minimum
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and