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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
information collected from molecular data and explore in combination with existing knowledge on environmental conditions using ecological statistics Characterize environmental consequences of nodule mining and
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personality: Master in Computer Science, Applied Mathematics or equivalent qualification with a strong focus on Computer Science with excellent marks. PhD with focus on data mining Strong publication record
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significant loss. The most economically viable options for large-scale hydrogen storage are underground, within solution-mined or engineered caverns and depleted sedimentary reservoirs. Substantial research
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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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the laboratory manager and Principal Investigator. 6. Mining large sequencing data sets Department Specific Qualifications Education: PhD in Molecular Biology, Immunology, Physiology or related field Experience
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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 robotics for mines, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception
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Postdoctoral Researcher in Geological Exploration of Carbonatite Complexes and Associated Critical Minerals Geology & Sustainable Mining Institute Mohammed VI Polytechnic University - Benguerir
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, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data
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Job Description The postdoc scholar will participate in several research projects currently funded by the Pl. Including multi-center projects to develop various machine data mining models including