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Status: Open Applications open: 1/04/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by
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catchment hydraulic models and sewage network models, leveraging AI and other "big data" meta-analysis techniques to perform this in a computationally efficient manner. Provide guidance as to which sites and
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research group (please find further information at https://www.biologie.uni-konstanz.de/gruber ). You will be developing machine learning-based data science approaches for the analysis of Next Generation
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to work on selective spectral microscopic imaging (SSMI) for in-situ sensing applications. Many emerging applications, including microplastic detection, food safety, bioimaging, and materials analysis
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with a total of 18 PhD stipends. The AI:HealthData Lab is part of the AI:X initiative with two PhD stipends and is a collaboration between the Data Engineering, Science, and Systems (DESS) research group
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information on diversity and equal opportunities: https://go.fzj.de/equality and and on the targeted promotion of women: https://go.fzj.de/womens-job-journey
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candidate will help with: Metadata acquisition and curation of the data collected Data acquisition and storage for metabolomic analysis Performing quality control on the data produced Statistical analysis and
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perspectives, user‑centred or participatory design methods, and quantitative analysis of farm data. The goal is to understand how digital dairy technologies can be designed and implemented to support mutual
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
10th April 2026 Languages English English English UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments Apply for this job See advertisement About the
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learning applied to dynamic systems; Proficiency in key machine learning libraries (PyTorch, JAX, etc.); Mastery of Python and the software ecosystem for scientific data analysis and management (NumPy