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: 01.09.2026 | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: Job ID: 5919 The research team “Climate Dynamics and Modeling” is part of the Department
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with at least one year of experience in applying analysis and synthesis methods and research methodologies in computer and communications engineering or computer science. The successful candidates will contribute
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paleo studies. Furthermore, our knowledge of Holocene climate at high altitudes remains very limited (Jomelli et al., 2022). Monsoon proxies located at low altitudes show no direct links with glacier
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robust and resilient building renovation strategies. The research will address current limitations in renovation planning by integrating lifecycle performance, climate risks, indoor comfort requirements
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of railway tracks on bridges, using Dutch railway infrastructure as a primary case study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed
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experimental methods are available and currently fully operational in the laboratory. Collaborative Environment: Centrifugal instabilities are not limited to magnetized plasma columns in the laboratory but also
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data collection and analysis, including neuroimaging or behavioral data•Languages: Dutch is strongly preferred, as the project involves extensive interaction with Dutch-speaking participants; English
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. Experience working with animal models and handling biological samples. Experience in the analysis of genomic, transcriptomic or epigenomic datasets. Strong organisational skills, scientific curiosity and the
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mathematical modeling systems for data analysis problems; ii) Develop data management systems; iii) to promote the dissemination and exploitation of the results generated in the project. 4. Objectives: Develop
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | 2 months ago
. The project integrates state-of-the-art molecular biology, functional genomics and cancer models with computational analysis of large-scale sequencing datasets. The primary focus of the PhD project is