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, engineering or physics. Knowledge: Computational programming, machine learning, quantum transprot, device simulation. Professional Experience: use of device simulation codes applied to 2D materials. Personal
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with deep learning to design van der Waals heterostructures with optimised spin-orbit torque (SOT) efficiency for ultra-low-power memory and computing. Its two pillars are AUTOMATA, an automatic material
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for improving the safety of LIBs Reinforced polymer composites In-depth understanding of the fire behaviors of materials for LIBs The candidate will acquire hands-on experience with flame retardancy, and polymers
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mental disorders across development. We develop and apply mechanistic models (e.g. reinforcement learning, normative modelling), generative approaches to augment neuroimaging data, and digital twin brain
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polymers via molecular designation Preparation of reinforced polymer composites Development of highly efficient eco-friendly fire-safe strategies for polymers In-depth understanding of the fire behaviors of
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areas of nanoscience and nanotechnology. Job Title: Junior Postdoc-Electrocatalysis; in situ electron microscopy characterization; deep learning frameworks for TEM image analysis Department: Advanced