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Job description The project: Earth’s dominant cloud type per area covered is Stratocumulus. These low-level, shallow, horizontally extensive clouds cover one-fifth of the Earth’s surface. Changes in
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Integrated optics is currently experiencing unprecedented growth, driven largely by the rapid expansion of artificial intelligence (AI), cloud computing, and high-performance data processing
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that will concisely and accurately inform international/national policies aimed at forest conservation. You will utilise ESA-supported cloud computing platforms for conducting your research. By the end
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, or the orchestration of sensing, computation and communication across the device–edge–cloud continuum. You will have the freedom to define your own accents while connecting to and strengthening the themes and vision
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, resilient distributed architectures for sensing, sensor-data fusion and analytics, or the orchestration of sensing, computation and communication across the device–edge–cloud continuum. You will have the
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-supported cloud computing platforms for conducting your research. Technical competencies Knowledge of relevant technical and functional domains Relevant experience gained during internships, project work and
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and frameworks such as 3DHOP, ATON, Kompakkt, HBIM, and cloud-based 3D pipelines as well as the use of LLMs both in the coding ecosystem and in 3D workflows. Contribute to the open-source ecosystem
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Python and modern machine‑learning development, including version control (Git), testing, and reproducibility; experience with cloud-based solutions (e.g., Azure) is a plus. In our international working
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largely by the rapid expansion of artificial intelligence (AI), cloud computing, and high-performance data processing applications. As AI models continue to increase in size and computational complexity
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The proliferation of edge computing has introduced new challenges in security, energy efficiency, and architectural design. Traditional security mechanisms, designed for general purpose or cloud