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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
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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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, 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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materials (sputtering, PLD, wet-chemistry approaches), lithography (optical, e-beam), magnetometry equipment (VSM, MOKE), electrochemistry (galvanostats), ferroelectric characterization of materials
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in the United Kingdom. Main Tasks and responsibilities: This post of a Scientist will lead efforts on the synthesis, characterisation and further development of different types of carbon nanomaterials