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is an Equal Opportunity Employer. South Dakota Mines and the Board of Regents ensures that all employment practices are free of discrimination. Contact Information
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or related field; • Strong expertise in machine learning, deep learning, and data mining; • Experience with multimodal data analysis (e.g., eye-tracking, EEG, fNIRS) is highly desirable • Proficiency
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at: https://www.cs.aau.dk/research/Data-Engineering-Science-and-Systems Your work tasks To apply, it is essential to have a publication record in top data management, data mining/analytics, and distributed
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, School of Agriculture, Policy and Development Project description: Mine tailings are the waste by-product of mining and mineral processing. Tailings are considered valueless and a threat to the environment
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applicant: has a PhD degree in electrical, computer or biomedical engineering, computer science, data mining/machine learning, or a closely related area. has demonstrated the ability to perform independent
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2025 Teaching Qualification Requirements: Education: PhD in Mining Engineering or related field Experience: Prior teaching and industrial experience preferred; some experience with GeoStudio or similar
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accordance with State regulations and guidelines at UiT. At our website, you will find more information for applicants . Remuneration for the position of PhD Fellow is in accordance with the State salary scale
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of wastes/residues from mining and industrial sites. Conduct analytical measurements, collect research data and data interpretation. Write scientific articles and reports and assisting in the preparation
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are robust, especially in the selected industry use cases. This staff scientist position is linked to the research group Deep Data Mining in the department of Computing Science, which focuses on fusing data
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Contract Type: Fixed Term (36 months) This Knowledge Transfer Partnership (KTP) project will harness Data Mining, Multi-modal Data Analytics, Machine Learning, and bespoke Generative-AI tools with the aim