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accessible, transparent, and reusable. Key tasks include: - Developing, applying, and validating methods for statistical disclosure control and synthetic data generation, ensuring compliance with formal
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documents, including OCR post-processing and parsing of legacy texts Proficiency in scientific programming (preferably Python), version control (e.g. Git), and data standards such as RDF and Darwin Core
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assays: Establish cultures of host phytoplankton and their parasitoids to investigate infection dynamics under controlled conditions. Single‑cell genomics: Apply single‑cell sequencing to characterize
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12 months prior to application Good command of English (German is not required) Willing to relocate to Germany for the duration of the position We offer Working in the socially relevant field
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, statistics, and financial mathematics. Website: https://sites.google.com/view/trr388/ Project B03 of SFB/TRR388 concerns numerical methods for the treatment of stochastic optimal control problems and backward