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experimental and/or numerical (finite element) mechanics - Keywords: Paper and fibrous materials, X-ray microtomography, in situ mechanical testing, Image analysis, Multi-Particle Finite Element Method (MPFEM
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 13 days ago
. Reymond Sutandy), invites applications for a PhD student (f/m/d), ref. nr. 2026_24. The position is available for three years, starting on 1 January 2027. A later starting date can be arranged. The Max
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research themes combining theoretical analysis, probability, and computational modelling. Core duties include: Researching the non-local geometry and topology of Gaussian random fields, and random Laplace
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific
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inverse problems, as well as the development of numerical methods that can eventually be applied to large-scale wave-imaging problems. The PhD project will have a strong mathematical component. You will
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metabolomics gained during their PhD, covering the entire analytical workflow, from sample preparation to data analysis. A good understanding of plant metabolism is also desirable. Skills ➢ Qualifications
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reports, simulations, analysis, code samples, or documentation (multiple references are considered beneficial). The above duties are not exhaustive; the PhD candidate may be required to undertake other
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reproducible fashion. We present conclusions of research and analysis to the research community and clients through presentations, research papers , blog posts , interactive data visualisations and open-source
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mathematics majors and minors. We have strong research and educational programs in discrete mathematics, algebra, logic, analysis and probability, numerical analysis, mathematical biology, geometric analysis