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Groundwater Geochemistry as Tracer of Critical Raw Materials (CRM) in the Per Geijer Mining District Luleå University of Technology experiences rapid growth with world-leading expertise within
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‑mining and machine‑learning methods. The expected scientific outcome is to establish guidelines for identifying and optimizing promising electrolyte materials and to support the development of future
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of this PhD project is to analyze the various epistemic, economic, legal, political, and social dimensions of acceptance related to brine mining projects, using established qualitative and quantitative methods
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research team of Université Côte d'Azur (UCA), Inria, CNRS. The research fields of the team are argument mining, argumentation-based reasoning, counter-argument generation, and argumentation quality
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geosystem is complex and the economic risk associated with exploration is higher. To help reduce this risk and accelerate exploration, the GEOTHERBAMINE project (GEOTHERmal energy in the MIning BAsin) aims
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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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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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functional dark matter, offering an unprecedented view of the molecular tricks used by the microbial world. The ERC MicroMet team, led by Dr. Tristan Wagner (https://www.ibs.fr/en/research/assembly-dynamics
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innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
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development. In the frame of a third party funded research project, we are looking for a PhD Student to work on and develop breeding strategies to mine comprehensive winter-wheat populations: Your tasks: Curate