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include, but are not limited to: Mine automation and data analytics Mine ventilation and safety Drilling, blasting, and explosives engineering Resource and reserve estimation Other related mining
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PhD Student in Mining and Rock Engineering with special focus on underground hydrogen storage Lulea Reference number 4286-2026 Are you ready to take the next step in your academic journey? As a
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sensing. Background We are looking for a postdoctoral researcher to tackle a hard and impactful sensing problem: developing machine learning approaches for turning the vibration signals of mining machines
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research project on natural hydrogen resources and underground hydrogen storage. We are seeking a motivated PhD candidate in Mining and Rock Engineering to contribute to interdisciplinary research spanning
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Inria, the French national research institute for the digital sciences | Villeneuve, Queensland | Australia | 10 days ago
to self-adaptive systems. We focus particularly on two properties: self-healing and self-optimization. With self-healing, we aim to study and adapt data mining and machine learning solutions to the
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aspires to leave its mark nationally, continentally, and globally. About GSMI : GSMI (Geology & Sustainable Mining institute) aims to strengthen its industrial partnerships within and beyond Morocco
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und Stellenangebote > Academic staff > Research Associate Position in Process Mining, Information Systems, and Spatial Data Science Back to News Board Browse in News The professorships
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/ What We Want The primary responsibility of the Facilities and Energy Services Data Analyst is to conduct data queries, analysis, and mining, as well as to generate reports and data visualizations for
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/ What We Want The primary responsibility of the Facilities and Energy Services Data Analyst is to conduct data queries, analysis, and mining, as well as to generate reports and data visualizations for
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affected by AMR pathogens. This will be achieved by integrating cutting-edge techniques in bacterial genomics, including both short-(Illumina) and long-read sequencing (Oxford Nanopore), data mining of