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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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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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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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, the concept of a cross-university PhD programme involving non-university institutions was developed to enable the combination of different scientific and technological disciplines relevant to biomedical data
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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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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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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 17 hours ago
Degree Doctor of Philosophy (PhD) in Environmental Sciences Course location Cottbus Teaching language English Languages All courses are taught in English. The dissertation is written in English, and
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 6 days ago
Degree Doctor of Philosophy (PhD) in Heritage Studies Course location Cottbus Teaching language English Languages All courses are taught in English. The dissertation is written in English, and the
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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
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interfaces for managing, visualizing, and mining complex multi-omics datasets. Integrate quantification, annotation, and pathway information with genomic and transcriptomic data relevant to cancer signaling