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projects in areas of artificial intelligence such as text mining or image processing. Your application must include a one paragraph summary of one of my publications that you would like to work on. See the
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) who are at risk or in practice adversely affected by mining of minerals for the green transition. Comprising four complementary work packages and a focus on land-based and potential deep-sea mining as a
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Sciences and mining company partners, within the recently established Smart Exploration Research Centre, for sustainable and responsible exploration of critical raw materials. The duties include to: Conduct
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scientists from the Department of Earth Sciences and mining company partners, within the recently established Smart Exploration Research Centre, for sustainable and responsible exploration of critical raw
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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 2 months ago
30 Jan 2024 Job Information Organisation/Company Mines Paris - PSL, Centre PERSEE Research Field Engineering Technology » Energy technology Mathematics Researcher Profile Recognised Researcher (R2
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sources, market scoping, and value-chain actor interviews in the majority world. This can also be generated through census data, data and text mining, or geospatial processing earth observation data. You
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pivotal roles in diverse applications such as desalination, carbon capture and sequestration, sour water stripping, solution mining, ocean acidification, energy storage, metal mining/ pollution, and more
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well as descriptive, analytical and computational skills; • Excellent competence in the application of state-of-the-art methods from the field of text mining / natural language processing (large language models
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, innovation management, business economics, behavioral economics, data science, or machine learning or related fields. Strong expertise in text mining and large language models, proficiency in languages
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such as Large Language Models, and machine learning techniques such as deep learning, reinforcement learning, multi-modality (including images, audio, text) data modelling techniques and self-supervised