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Field
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to project approval) our Department Knowledge Technologies for the Social Sciences (KTS), Team Information Extraction and Linking located in Cologne, is looking for a Research Associate (PhD Candidate) Cross
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team to jointly explore new approaches to resource recovery. The topic area “Urban Mining” focuses on the recovery of metals from primary and secondary sources such as natural ore, mine waste, as
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Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering
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, data mining, machine learning, natural language processing, human-centered computing, mobile and ubiquitous computing, cyber-physical systems, and engineering education. IST hosts the ABET-accredited BS
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Job Reference: 1424346 About your new Team – Western Australian (WA) School of Mines: Consolidating engineering, economics, and science capabilities to form the WA School of Mines (WASM), the School
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activities within the project team. For more information regarding the responsibilities for this role, please refer to the Position Description at JOBS@UNSW. Skills and Experience Summary: A PhD in a related
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16 Mar 2026 Job Information Organisation/Company IMT - Institut Mines-Télécom Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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Qualifications PhD in Economic Geology or Petrology Completed postdoctoral research in Economic Geology Demonstrated experience working within a mineral exploration or mining environment in collaboration with
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contribute to teaching activities in the department (Data Mining, Machine Learning), up to a maximum of 10% of your appointment. You may also contribute to the execution of collaborative industry projects, up
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Conditions of employment completed doctoral degree (PhD) in data science, computer science, statistics, mathematics, natural sciences or related disciplines in-depth knowledge of data mining, data science