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. For more information about the department, please visit the website. Be part of a large-scale international project We are looking for a talented and motivated PhD student for the EPHEMERAL research project
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epigenetic mechanisms of cellular aging, resilience, and fibrosis. Responsibilities Develop and implement analytical pipelines for large-scale single-cell, spatial, and multi-omics data integration Build and
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in glaciology, Geodesy, Earth sciences, remote sensing, or a related field. Strong skills in data analysis, programming, and handling large geospatial datasets are essential. Experience with satellite
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learning methods that leverage the unique properties of SAR data. Develop a foundation model pre-trained on large Synthetic Aperture Radar (SAR) datasets. Demonstrate the practical utility of the foundation
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registering study elements in PhD programmes Coordinating assessment committee nominations and evaluations Entering data in PhDManager (our admin system) Creating digital PhD diplomas You’ll also help with ad
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electrical and computer engineering for real-world, large-scale applications. The NAN group has strong expertise in wireless networks, routing, network security, data analytics, and cooperative multi-agent
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. Experience within development of biofilters to enhance methane oxidation is particularly relevant. Also, the work entails generation of large datasets, whereby management of such are relevant. You will be part
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architectures, and large language models (LLMs) as powerful tools for uncovering, quantifying, and interpreting causal information flow within the brain’s dynamic networks. Your competencies Prospective
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outputs in lidar technology and real-time wind-field reconstruction. Expert in wind turbine response analysis. HAWC2 user expert. Demonstrated expertise in data analysis and signal processing with large
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characterization. Proteomics today captures only half the story. By focusing almost exclusively on positively charged peptides, current approaches miss a large class of acidic biomolecules. This project challenges