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11 Dec 2025 Job Information Organisation/Company Luleå tekniska universitet Research Field Engineering Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 12 Jan 2026
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. The role further champions the exploration and adoption of emerging technologies-such as process mining, task mining, and robotic automation-to deepen process insight and streamline SOP development. Close
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build the sustainable companies and societies of the future. We are one of the leading universities in Europe in mining technology and metallurgy. The university conducts research along the entire mining
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LanguagesENGLISHLevelGood Additional Information Work Location(s) Number of offers available1Company/InstituteInstituto Pedro NunesCountryPortugalGeofield Contact State/Province Portugal City Coimbra Website http
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execute GCE’s field data collection programs in collaboration with industry partners and students, ensuring data integrity and safety in mine-site environments. It also provides technical leadership
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activities as a priority on the following topics: - " A research proposal using data mining, Artificial Intelligence or model reduction or digital twins that matches the key topics of section n°11
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 9 days ago
] Makhlouf, Karima, et al. "On the impact of multi-dimensional local differential privacy on fairness." Data Mining and Knowledge Discovery 38.4 (2024): 2252-2275. - [5] Bagdasaryan, Eugene, Omid Poursaeed
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Status: Opening Applications open: 21/01/2026 Applications close: 4/03/2026 View printable version [.pdf] About this scholarship Description/Applicant information The Newmont Mining Engineering
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Process Mining? In this project we aim to transform the way we analyze and visualize complex processes. Information The field of process mining, a branch of business process management, revolves around
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mining, big data and cloud computing, or agentic development. Assist with crafting and implementing a vision for the Data Science and Analytics program, guiding its strategic direction and evolution. Keep