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Biology, Department of Life Sciences, to develop intelligent systems that integrate metabolic modeling, omics analysis, and automated literature mining. About us The Department of Life Sciences conducts
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cause of premature mortality and healthcare burden globally. We are now looking for an enthusiastic and talented person to strengthen the Unit’s expertise in data mining, artificial intelligence
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of this PhD project is to analyze the various epistemic, economic, legal, political, and social dimensions of acceptance related to brine mining projects, using established qualitative and quantitative methods
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‑mining and machine‑learning methods. The expected scientific outcome is to establish guidelines for identifying and optimizing promising electrolyte materials and to support the development of future
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metals from mining waste rock, tailings, and run-off waters in Sweden along with bioremediation and new crystallization techniques. Within the research school, LTU-Process Metallurgy is a key participant
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Program—BioGeoMetals The Research School—BioGeoMetals will focus on biogeochemical and bio- & hydro-metallurgical approaches for the sustainable recovery of critical metals from mining waste rock, tailings
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combining analytical chemistry, isotopic geochemistry, environmental forensics and environmental mineralogy. Research and education in this subject address environmental issues tied to the mining industry
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unresolved issue: how the interaction between humans and technology in safety-critical maintenance work affects risk and productivity in the Swedish mining industry. Effective maintenance is the foundation
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data and models (mainly imaging data), with particular emphasis on fairness and privacy. Duties and responsibilities may change over time. The successful candidate will be part of the Deep Data Mining
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), with particular emphasis on fairness and privacy. Duties and responsibilities may change over time. The successful candidate will be part of the Deep Data Mining group and Responsible Artificial