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and electronically heterogeneous, forming a landscape of “puddles.”, which make them quite challenging to control in modern electronics. Interest now centres less on nitrogen-range Tc and more on this
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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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of standard MS programs and a good command of written and spoken English. What we offer Employment in accordance with the collective agreement for the public service of the federal states (TV-L) A modern, well
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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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or discrete probabilistic structures is beneficial but not required. What we offer: WIAS Berlin is a premier research institution known for its strength in optimization, optimal control, dynamical systems, and
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command of English We offer: An interdisciplinary working environment that encourages independence and self-reliance A collegial and open-minded working atmosphere in a dynamic research institution
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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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. Our most recent project is to characterize the function and genetic control of root traits in maize to enhance drought resilience and yield stability. You will closely collaborate with other researchers
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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