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systems, cloud computing, and information and data management. You will supervise thesis projects and mentor PhD candidates, working with highly motivated, international students who rank among Europe’s top
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synergy approach, fully leveraging on cloud computing environments, the integration of non-EO data sources and cutting-edge digital technologies, as well as pursuing open-source algorithms and tools
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environments, cloud computing and the related security aspectes. The successful candidate will contribute to the department’s research profile and will play an active role in our educational programmes in
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required for this post. A PhD is desirable. Additional requirements Additional assets for this position are: experience in machine learning engineering and related tooling; experience with European cloud
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experimental security (FSec Group: https://vu.nl/en/about-vu/faculties/faculty-of-science/more-about/found… ), with a focus on Cloud computing, the use of data analysis and AI techniques to quantify, evaluate
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temperatures across a unique buoy array. Combining the in situ buoy data with rain and cloud observations, you’ll quantify spatial and temporal heterogeneity and link atmospheric drivers to lake responses
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Published Tuesday 20 Jan 2026 Deadline Tuesday 3 Feb 2026 Work area PhD Organisational unit Rotterdam School of Management (RSM) Salary € 4.728 - € 6.433 Employment 0.8 fte - 1 fte Introduction As a
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, privacy, and resilience. Today’s Transformers models scale poorly and assume abundant cloud resources. The research program FIND aims to deliver architectural and algorithmic breakthroughs that enable
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on-device AI to ensure low latency, privacy, and resilience. Today’s Transformers models scale poorly and assume abundant cloud resources. The research program FIND aims to deliver architectural and