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this short-term project we shall use active learning to accelerate the training of deep learning algorithms for optimising 2D material van der Waals (vdW) structure discovery. The goal is to make model
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applied to materials design, guiding search over candidate 2D materials/heterostructures toward target properties relevant to our ERC context (AI-assisted materials and device simulations). The outcome is a
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heuristic optimisation to explore and improve materials candidates-especially 2D/vdW structures-for target electronic/spintronic properties. The postdoctoral researcher will lead the optimisation component
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coupling in graphene by proximity effects in van der Waals heterostructures composed of graphene and 2D semiconducting and ferroelectric layered materials. Main Tasks and responsibilities: The research will
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Electronic Materials and Devices (AEMD) group focuses on the material sciences and technology aspects of novel electronic materials, with a strong emphasis on graphene and other 2D materials such as MoS2
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Materials and Devices (AEMD) group focuses on the material sciences and technology aspects of novel electronic materials, with a strong emphasis on graphene as well as other 2D materials (MoS2). The group
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areas of nanoscience and nanotechnology. Job Title: Research Support Technician Research area or group: Nanostructured Materials for Photovoltaic Energy Description of Group/Project: The person will be
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Materials and Devices Group focuses on the development of technological applications based on graphene and other 2D materials (MoS2). The activities cut across different scientific aspects, from
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characterization of 2D materials with magneto-electric response. 2)In depth structural and functional characterization of the synthesized materials. 3)Participation in the in vitro experiments to demonstrate
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this short-term project we will use active learning to accelerate the training of deep learning algorithm to optimize 2D material Van der Waals structure discovery. Main Tasks and responsibilities: The person