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) designs and/or studies materials with novel properties. This requires expertise in material synthesis, advanced characterization, physical property studies, as well as modeling and theoretical description
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“Personalizing Affective Images with Generative Artificial Intelligence”, led by Maciej Behnke, PhD, DSc. Number of scholarships: 1 Host unit: Faculty of Physics and Astronomy, Adam Mickiewicz University, Poznań
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. Nonlinear finite element modelling and characterisation Conduct numerical modelling via nonlinear finite element analysis and physics-informed neural networks Materials characterisation for soft, textile and
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, and materials science. In this PhD project, you will: § Develop an experimental platform to study 3D self-organization of active particles. § Fabricate and characterize light-driven microswimmers
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circuits. However, key challenges remain in topology selection, magnetic material utilisation, winding technologies and multi-physics optimisation. Addressing these challenges will support the development
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perceive, interact with, and adapt to dynamic textile materials over time, advancing methods for studying embodied interactions with emerging material technologies. As a PhD candidate, you will join the
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, for environmental remediation. The aim of this PhD project is to develop functionalised materials capable of detecting targeted organic molecules: aldehydes in the air, PFAS in water, or even chemical submission
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on its expertise in material strength testing). These tests will be repeated across different temperatures and particle sizes to characterise their influence on surface mechanics. The resulting properties
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, Computational Engineering, Applied Mathematics, Physics, Materials Engineering or related disciplines. Eligibility for admission to a PhD programme. Strong background in Computational Mechanics, Solid Mechanics
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€ 3.204 - € 4.051 Employment 1 fte - 1 fte Introduction The Erasmus School of History, Culture and Communication (ESHCC) is looking for two highly motivated PhD candidates to join a research group led by Dr