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theoretical and computational research on dynamic game theory and multi-agent optimization for uncertain systems. By building on tools from distributed optimization, convex-monotone game theory, and hybrid
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Vacancies PhD position on hermetic packaging of microfluidic sensor chips without glue or elastomers for ventilators and multi-infusion systems Key takeaways In medical equipment, many different gas
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process in imaging optics is inherently multi-objective, involving different competing performance criteria. This could be on a more systematic level the interplay of quality, cost and manufacturability but
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Are you our next PhD candidate eager to build fast and multi-scale electromagnetic techniques for analyzing state-of-the-art RF applications and systems? Are you interested in making RF system
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at system level. In this PhD project, you will develop the measurement and analysis methods needed to make these environments observable. You will design and validate a cost-effective, synchronised multi-node
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stress fields); design computational pipelines that integrate image-based anatomy, blood flow physics, and uncertainty quantification; validate the developed methods on retrospective multi-center clinical
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novel methodology for the analysis of single-cell (multi)-omics data by incorporating existing biological knowledge into machine learning models. You will join a collaborative and internationally-oriented
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. The combined observation of soil processes with plant functional traits and structure of vegetation captured by remote sensing (e.g. LiDAR, multi- and hyper-spectral imagery) in experiments and at contrasting
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(PI Dr. Stefan Barakat, consortium member Dr. Kristina Lanko), working alongside dedicated technicians and an active, supportive team of peer PhD students. This is a full-time position. Your core
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on quality-of-life measurement or on risk and resilience research. You will develop your focus together with the research team. Planned secondments at the University of Oulu and the Anna Freud Centre will