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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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in September 2026. Job requirements You hold a PhD with a focus on experimental fluid mechanics, for example in aerospace engineering, mechanical engineering, or applied physics. You have proven
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join our research team as PhD
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to Maastricht University! Join Maastricht University as a PhD student in
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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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level skills in the other field. PhD or close to completion PhD in Computer Science, Robotics or related discipline Advanced skills in software development and ROS. Analytical skills to understand complex
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-house and external scientific studies for mission development and implementation, geophysical algorithm development and related research activities; organising mission-specific science workshops and
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for expensive new dispatchable generation capacity, enable deeper renewable energy penetration, mitigate grid congestion, and reducing CO₂ emissions at national scale. In this PhD project, you will develop
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-edge control algorithms for the security and resilience of cyber-physical systems? We welcome you to apply for a PhD position in the SecReSy4You Doctoral Network, a European Union-wide Doctoral Network
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, and creative domains. Potential PhD projects may investigate how human and algorithmic actors interact in generating and assessing innovations, and how evolving systems of evaluation influence