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for a highly motivated PhD student to join the Institute of Mechanics. Our research focuses on the analysis of dynamical effects in various applications, ranging from train dynamics to biomechanics. Our
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: How can we develop frugal, robust, and interpretable methods for anomaly detection and fault diagnosis in reconfigurable multi-source microgrids, while maintaining high performance in data-constrained
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06.08.2026 Application deadline : 08.09.2026 At the Hector Research Institute of Education Sciences and Psychology, an interdisciplinary research institute at the University of Tübingen
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artificial intelligence, aiming to develop innovative approaches for predictive mapping of swelling clays and clay shrink-swell susceptibility. Candidates should have strong quantitative skills and a keen
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prepare and defend a doctoral dissertation. Within the framework of the FWO SBO interdisciplinary project DINEMO (Distribution Network Management Optimisation), which aims to address systemic bottlenecks
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your main research task, you will also be assigned a limited number of educational and support tasks for the professorship. Your qualifications Excellent graduation in Civil/Structural Engineering (M.Sc
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
Full time 39 hrs./week Neuherberg near Munich At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
cell-matrix communication in human-relevant experimental settings. To achieve this, we will develop bioengineered platforms that combine cell-laden bioinstructive hydrogels, advanced 3D culture systems
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
parametric studies following a design of experiments and to generate databases of physical fields that can be used to train generic meta-models [McCabe et al., 2025]. Furthermore, since industrial equipment is
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-orientated and open corporate culture Support from a collegial, motivated team with a positive working environment Individual onboarding Opportunities for continuing education and professional development Work