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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 17 hours 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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to fill the position of a Researcher (m/f/d) – Text Mining for Biodiversity Knowledge (Entomology and Legacy Texts) full-time / part time Location: Müncheberg (Brandenburg) Employment scope: full-time
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-engineeri… Requirements Additional Information Website for additional job details https://jobs.pse.kit.edu/en/jobs/169209/phd-candidate-fmd-in-chemical-engineeri… Work Location(s) Number of offers
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PhD Positions Country Germany Application Deadline 31 Oct 2025 - 08:00 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Feb 2026 Is the job funded
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, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 17 hours 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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ontology alignment in physics and materials domains Build and maintain ontologies, OWL/RDF knowledge graphs, SPARQL endpoints, and open benchmarking suites to guarantee FAIR, reusable research data Mine and
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for Business Information Systems (sebis) at the Technical University of Munich is looking for outstanding candidates for three PhD positions to be filled on August 1st 2025 to enlarge our research team
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At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
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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