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Faculty of Environment, Science and Economy The above full-time QUEX funded post is available, on a fixed term basis, 1 July 2024 to 31 December 2025 in the Camborne School of Mines. The post The
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, such as synchrotron-based X-ray absorption data. The following would be deemed highly desirable. Experiences in working with mine wastes, such as tailings. Experience in field sampling and laboratory
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through automation and optimisation of equipment and information, creating safer, more efficient, and more robust processes for a sustainable future in the mining of raw minerals. Since our inception 160
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Ecole Nationale Supérieure des Mines de Saint Etienne | Saint Etienne, Rhone Alpes | France | 2 months ago
19 Feb 2024 Job Information Organisation/Company Ecole Nationale Supérieure des Mines de Saint Etienne Research Field Technology » Other Researcher Profile First Stage Researcher (R1) Country France
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the mining industry through automation and optimisation of equipment and information, creating safer, more efficient, and more robust processes for a sustainable future in the mining of raw minerals. Since our
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Status: Preview Applications open: 1/09/2024 Applications close: 1/02/2025 View printable version [.pdf] About this scholarship Description/Applicant information Disclaimer - This fellowship is made
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the mining industry through automation and optimisation of equipment and information, creating safer, more efficient, and more robust processes for a sustainable future in the mining of raw minerals. We
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: Graduated with a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or Data Mining not more than 5 years at the application date Strong experimental skills, including design
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Tinto, the aim of the Centre for Mining Automation is to develop technologies to transform the mining industry through automation and optimisation of equipment and information, creating safer, more
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 1 day ago
data mining, natural language processing and deep learning, complex data and large data can be studied to deliver faster, more accurate results. This project is to research available methods, test their