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. Design explanation methods that connect predictions to meaningful spatial, temporal, frequency-domain, semantic, or example-based evidence. Evaluate robustness and transfer to unseen datasets, content
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
in complex engineer-to-order shipbuilding. Realizing the full potential of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and
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laboratories. The topic of the doctoral research will on development of efficient and scalable search engines. This entails design of new retrieval models, efficient query processing, and use of modern hardware
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
different perspectives and draw well-founded conclusions Be flexible and open to adjusting the plan for the project as needed Emphasis will be placed on personal qualities. We offer An exciting job with an
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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gasification Experience with lab-scale reactor design, construction and operation Experience with experimental work Experience in Computational Fluid Dynamics (CFD) modelling Personal qualities In order to be
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Technology no later than three months after starting in the position Preffered qualifications Knowledge of fluidized bed technology Knowledge of biomass gasification Experience with lab-scale reactor design
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learning pipelines for multilayer segmentation and nanoscale transistor classification from microscopy images; (b) Designing graph-based inference models capable of reconstructing higher-level logical blocks
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on a physical non-nuclear test system. You will design control algorithms that handle the full range of operational states, from steady cruising to rapid load changes and emergency scenarios, and ensure
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developing simulation flows, analysis methodologies, and predictive models that enable Design-Technology and System-Technology Co-Optimization (DTCO/STCO) studies for future systems. You will work closely with