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(Kubo / linear-response and non-equilibrium Green function formalisms) and implement them numerically in the group codes, on tight-binding and DFT-derived (Wannier) Hamiltonians. Validate the extended
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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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both optical and electrochemical approaches. The main objective of Merkoçi group is to design nanotech devices that can be used even by nonprofessional people for fast diagnostic at home or doctor's
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for energy materials or catalysis, skills on in-situ TEM and AI ML/DL coding skills will be a plus. Experience collaborating in international, multidisciplinary projects is a plus. Hands-on experience working
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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