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with a topic within the scope of the research project Preparation, implementation and analysis of an empirical data collection (e.g., development of behavioral paradigms for assessing social learning
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Status: Open Applications open: 21/01/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship is funded
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- Writing of reports and papers, including data analysis and generation of figures - Training of master students The successful candidate will be hired as a PhD candidate. The full time position is initially
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Responsibilities Data analysis and management. Typically, staff are involved in several projects, managing volunteer research assistants, assisting with grant proposals, and writing reports for funders, and
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, or closely related topics. Interest in data analysis and computational modelling. Interest in software (cloud platforms/data visualization) and related applications to integrate real-world energy data. Very
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For its Entomology Information Center at the Senckenberg German Entomological Institute (SDEI) in Müncheberg, the Senckenberg Gesellschaft für Naturforschung headquartered in Frankfurt is seeking
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innovations in this area You have profound knowledge in the field of quantitative data analysis A high degree of motivation and commitment characterize your way of working. You work just as well independently
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, or erroneous data, Data cleaning and generation, Development of enhanced loss functions and information-theoretic methods for optimized data analysis, Machine learning-based image segmentation of tomographic
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 21 days ago
Marine Biology or related field Background in whale research Experience in behavioural analysis of large whales Practice in photo-identification techniques Experience with aerial video data analysis
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formal agreements about children’s residence correspond with daily practice? Questions like these will be examined through quantitative analysis of existing survey data linked to register data, and