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focuses on the complex interplay of health, social, and environmental factors that shape individuals, families, and networks over time. We emphasise interdisciplinary collaboration, offering the Postdoc
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-driven algorithms (e.g., neural networks, reinforcement learning) for the creation of surrogate models and the autonomous optimization of high-dimensional design spaces. Experience simulating hybrid
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