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Field
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electrowinning ● Unlocking critical energy materials from mining and industrial wastes Through the CREST PhD Program, you will: ● Undertake research that addresses nationally significant challenges in critical
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duties related to Databases, Data Mining, and Information Retrieval. Be prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission
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duties related to Databases, Data Mining, and Information Retrieval. Be prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission
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materials production, from mine to metal; - “Task 2: Environmental implications on criticality: cause-and-effect mechanisms”, which will conceptualize the cause-and-effect mechanisms of environmental
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. The position The position is available within a multidisciplinary effort to develop new machine learning-based techniques for Natural Products Genome Mining at the Cluster of Excellence Controlling Microbes
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microbiology and structural biology; experimental design and execution; scientific literature research and data mining; molecular biology/genetic engineering (cloning, subcloning, mutagenesis, construction
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In-situ leaching of metals is one of the most competitive technologies for recovering critical metals or reclaiming value from mine tailings, with a lower environmental impact than conventional
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, or educational data mining. German language skills, helpful for the German-language course materials and survey instruments, but not a requirement. What We Offer We provide an inspiring, productive, and
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long-term radionuclide retention in soils impacted by uranium mining activities and, more broadly, in NORM/TE-NORM environments. The candidate must: - Hold a Master's degree or equivalent in the field
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closely related discipline). You have a strong interest in AI/machine learning, data mining, regression analysis, responsible AI, causal inference, and programming (R/Python, SQL). Moreover, you are driven