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Decision Intelligence for Supply Chain and Operations Optimization. The successful candidate will contribute to cutting-edge research at the intersection of Statistical Machine Learning and Generative
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. You will examine, for example, how security of supply can be realistically mapped in a sector-coupled energy system, which political decisions, crises, or technological developments need to be taken
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transparency and explainability of AI decisions is equally important, requiring innovative methods to build trust among stakeholders and ensure compliance with stringent industry standards. Additionally
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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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the trusting; and the situations where we are more likely to ‘outsource’ moral decisions to AI agents. By understanding this, we consider the ethical promise and pitfalls of such moral machines and how
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in their choices, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? Join us
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language understanding, and more. Your work will directly influence our trading strategies and decision-making processes. This is a unique opportunity to work at the intersection of cutting-edge research and real-world
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of resources, materials, and activities. This improved transparency facilitates decision-making and collaboration across projects. The position is funded by the research project “TWinYards - Scaling up
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to help them make a decision on your application.
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test at the aggregate level. However, costs and benefits are unevenly distributed, and implementation requires continuous popular buy-in. Furthermore, policy decisions are made through the political