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architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) is preferred. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply
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/Archaeology/Computer Science/Linguistics or related subjects. Ability to analyse and interpret datasets and apply critical evaluation to current methodologies is essential. Applicants must have proficiency in
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rubidium-87 MOT system exploiting 3D-printing techniques together with a fibre-based Raman laser system. Size, weight and power considerations will be important in order to make the accelerometer portable
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unit and individual and collaborative research in the area of Power Electronic, Machine and Control. The role holder will be expected to conduct and lead high-caliber, impactful research at the forefront