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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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sensitivity and respect for diversity Desirable: Experience in cheminformatics, molecular modeling, or enzyme mechanisms Familiarity with databases, data mining, and knowledge management Why Join Us: Be part of
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19 Jan 2026 Job Information Organisation/Company GFZ Helmholtz-Zentrum für Geoforschung Research Field Geosciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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20 Feb 2026 Job Information Organisation/Company Helmholtz-Zentrum Umweltforschung Research Field Geography Researcher Profile Other Profession Positions PhD Positions Application Deadline 20 Mar
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Angola and the DAAD offer up to 30 scholarships to qualified applicants in the field of Mining engineering, metallurgy, drilling, geology, mining economy, mining law, geosciences and other specialties
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 10 days ago
. For further information about pursuing a PhD or doctorate at BTU, please refer to the website of the BTU Research Department . Brandenburg University of Technology Cottbus-Senftenberg The BTU welcomes you to
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digitalized society, a climate-friendly energy system, and a sustainable economy. We focus on the natural, life, and engineering sciences in the fields of information, energy, and bioeconomy. We combine
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mining. In-depth knowledge of the design, analysis and implementation of algorithms for large text corpora, including efficient data pipelines and clean experimental design. Strong NLP skills for semantic
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command of written and spoken English • Experience with qualitative research methods is an asset • Good knowledge of machine learning /data mining in science • Good programming skills in at least one
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focused on microbiome research Project management and coordination of related research activities Bioinformatic analysis of microbiome and clinical data AI-based mining and interpretation of omics data