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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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offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong focus on computational science and an interest in training
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Additional information on beginning, duration and mode of study The starting date of the PhD project is flexible. The initial funding period is usually three years. Find out more at https://www.bgc-jena.mpg.de
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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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), and an increasing number of industrial partners. MUDS is offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong
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accelerated aging phenotype. The work of the PhD candidate will include data mining and integration of these datasets with resulting identification of candidate regulators of age-associated reprogramming
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 2 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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cells from different mouse models with accelerated aging phenotype. The work of the PhD candidate will include data mining and integration of these datasets with resulting identification of candidate
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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