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CLIMES Doctoral Network, we are looking for a candidate to use text mining, natural language processing, and large language models to extract, analyse, and spatialise information on the socioeconomic and
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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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unresolved issue: how the interaction between humans and technology in safety-critical maintenance work affects risk and productivity in the Swedish mining industry. Effective maintenance is the foundation
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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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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