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There is scientific uncertainty about how much climate change will occur in future for any given scenario of emissions of greenhouse gases. The reason for most of this uncertainty is that clouds
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of emissions of greenhouse gases. The reason for most of this uncertainty is that clouds are especially challenging to represent in numerical models of the atmosphere. Clouds affect the Earth’s radiation
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IFJ PAN included in my application documents." -a list of scientific and research achievements (e.g. list of publications, conference presentations, completed internships) - 2 letters of recommendation
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IFJ PAN included in my application documents." -a list of scientific and research achievements (e.g. list of publications, conference presentations, completed internships) - 2 letters of recommendation
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PhD Studentship in Aeronautics: How offshore wind farms and clouds interact: Maximising performance with scientific machine learning (AE0078) Start: Between 1 August 2026 and 1 July 2027
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distribution infrastructures, and heterogeneous networks and storage environments based on Cloud based services, CDNs and Edge Computing. This complex chain of delivery has negative implications
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the models; Developed hybrid AI solutions need to be developed and implemented locally as cloud-based solutions are not an option for Thales NL; Working on-site at Thales to: analyse real data, observe current
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part of an international team Desired Qualifications Familiarity with cloud computing platforms and large-scale data processing German language skills Publications in computer vision or machine learning
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to ensure planners and engineers understand, trust, and use the models; Developed hybrid AI solutions need to be developed and implemented locally as cloud-based solutions are not an option for Thales NL
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, future research interests, and including a list of publications and presentations (if applicable; max. two pages) PDF or cloud link of the Master’s thesis (if already submitted, otherwise a major