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Field
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physics-based and data-driven modeling and data-analysis skills (e.g. Python, MATLAB, or comparable tools) are an advantage High interest in interdisciplinary research Excellent communication skills and
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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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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 project addresses a fundamental question in digital twin development for fusion energy systems: the relative roles and limitations of physics-based models, experimental data, and AI-driven
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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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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
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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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. 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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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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-driven, and grounded-on-Country initiative introduces a transformative model of care that integrates ancient cultural wisdom with modern neuroscience and digital innovation—addressing long-standing health