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of natural language texts. This PhD position aims at investigating new computational methods to reduce distortions in science communication. The envisioned methodology will focus on Argument Mining with a
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mining. In-depth knowledge of the design, analysis and implementation of algorithms for large text corpora, including efficient data pipelines and clean experimental design. Strong NLP skills for semantic
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of scientific programming (e.g., Python or R) Experience in handling large datasets is an advantage. Interest in natural language processing, text mining, and machine learning. Interest in the societal
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are not limited to: Data visualisation Text mining Network analysis Digital mapping 3D modelling Augmented/Virtual reality AI and computer vision Digital exhibitions and archives Scholarly communication by
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clay is sourced. However much we rely on ceramic materials, the (surface) mining and working of soils required to make them, impacts natural and social systems due to material extraction, waste handling
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evidence of older (colonial and early post-colonial) histories of toxicity and pollution of soil, water and air as a result of industrial coal mining, and their impact on daily urban living (based on bodily
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(NLP) and information retrieval (IR) that focuses on identifying, retrieving, and generating arguments (and counter-arguments) present in texts and dialogues, as well as classifying relations between
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are a plus has a strong profile in text and data-mining and has a notion of omics data integration is willing to work in a highly multi-disciplinary environment had academic good performances