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. Knowledge and Professional Experience: Interest of learning (S)TEM, EM related spectroscopies and in-situ techniques (use of gas and/or liquid, bias and heating STEM sample holders). Previous experience
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parameters affect material properties and functional performance, and interacting with machine-learning and modelling teams to translate experimental results into predictive datasets. Preparing reproducible
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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
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computing technologies. Interested applicants should send a full CV, a Letter of Interest and the Contact Details of a senior researcher which could support their application before 10th November 2025