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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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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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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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. This ambitious initiative aims to partition the genetic risk of metabolic diseases by integrating multi-modal single-cell sequencing, spatial omics, and large-scale GWAS datasets. The project will be based
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(lubricants, gear oils etc.) from machinery like wind turbines. When we want to remove oil droplets, we need them to merge (coalesce) as big drops are easy to remove. Surfactants can either promote or hinder
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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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24 Oct 2025 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Chemistry and Bioscience, Chemical and Bioengineering Research
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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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. 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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some of the following qualifications: Background in data science, statistics, psychiatric epidemiology, or related fields, with a relevant PhD degree (required) Experience in psychiatric disorder