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, complex systems analyses, automated extraction data analysis and methods-needs matching Your PhD position is part of the Academic Research Network HTA, a collaboration between the National Health Care
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Are you a highly-motivated researcher looking for a PhD position in complex dynamical systems and want to make some impact? If yes, the analysis group of the Korteweg-de Vries Institute
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and profile: an MSc degree in the Natural Sciences (e.g. Earth Science, Biology, Ecology, Physics) or Engineering; experience with modelling, quantitative data analysis and programming; strong
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Circulatory Support (MCS) experimental lab with real-world clinical analysis in patients with cardiogenic shock and cardiothoracic surgery. You will work at the frontline where engineering, physiology, and
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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
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is expected to be open to combine both positivist and non-positivist approaches under the supervision of Carolin Ischen and Gijs Schumacher, both specialized in large-scale quantitative analysis and
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PhD students. The MoM section is recognized worldwide for its high-level research on experimental analysis, theoretical understanding and predictive modelling of complex thermo-mechanical behaviour (e.g
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engagement. You will have the opportunity to shape the focus of your research according to your background and interests, with an emphasis either on iPSC-based disease modelling or on computational analysis
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whether suitable relaxations of the underlying PDE constraints can effectively reduce the nonlinearity of the inverse problem. Understanding this requires mathematical analysis of the PDEs and the resulting
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develop algorithms for segmentation, motion tracking, elastography, and biomechanical analysis of aneurysms, with the goal of improving patient-specific rupture risk assessment beyond traditional diameter