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Field
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manufacturing approaches, investigating melt behaviour, densification, defect formation, and microstructure in materials. A distinctive element of the project is its data-driven approach. Together with colleagues
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archaeologists to understand AI results – Generalization and transferability analyses, considering domain adaptation and transfer learning strategies to ensure model robustness across different geographic regions
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extra vacation days. Through the UU Terms of Employment Options Model, you can tailor your employment package to your needs. This way, we encourage you to grow in what you do, both in your work and your
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directions: Long-term Autonomy in Uncertain Environments a. Agentic Planning and Reasoning - Semantic Mission Planning with Foundation Models - Foundation models based task decomposition - Event-driven task re
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. This position is ideal for candidates interested in: operations research and optimization, climate adaptation and resilience, sustainable food systems, mathematical modelling and data-driven decision making
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geoscience, energy systems, materials modelling, fluid dynamics, and other scientific and engineering domains where data-driven models must interact with physical knowledge. Such problems raise fundamental
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Position Description About the position We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You’ll work
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23rd October 2026 Languages English English English The Department of Information Security and Communication Technology has a vacancy for a position as PhD Candidate in AI Driven MAC Control
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for entry into a PhD program. A background in machine learning, inverse problems, scientific computing, or related data-driven methods is highly desirable. You are curious about combining physical modeling
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not necessary as training will be provided. Experience of computer modelling is desirable but not essential as full training will be provided in an active and well-resourced research group based in