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Field
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the composition and functioning of microbial communities in environments ranging from the deep sea to large lake systems. Within this department a subgroup of organic geochemists is developing novel (analytical
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The project: This PhD studentship is an exciting opportunity to work at the intersection of composites structures and composites manufacturing with a particular focus on sustainability. The PhD
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candidate in the exciting area of multiscale and multiphysics modelling of sustainable fibrous composites, with additional focus on uncertainty quantification and machine learning. Information The context
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material-based composites specifically designed for wastewater treatment through the innovative use of piezocatalysis. The successful candidate will engage in cutting-edge research to understand, design, and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 5 days ago
- Generalisation of laser plasma models for different instabilities; synthesis of radiation diagnostics Translated with https://laratranslate.com (Present a resume of the activities to carry out, the objectives
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Programme? Horizon 2020 Reference Number 101041192 Is the Job related to staff position within a Research Infrastructure? No Offer Description Proyecto/grupo: PIEZOZYMES / Enzymatic Piezoelectric Composites
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Description At the Department of Materials Science, Faculty of Engineering at Kiel University at the Chair of Composite Materials (Prof. Tayebeh Ameri), starting at 01.04.2026, we are looking for a Researcher
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composites for enhanced durability, performing microstructural analysis and mechanical testing. Topology Optimization & AI Integration: Use AI and machine learning to guide structural and topology optimization
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in situ across length scales and relate their structure/organization to fertility phenotypes. The work includes include (i) investigating the 3D structure and composition of unknown macromolecular
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properties through tuning of concentrations and types of viscosity modifiers and superplasticizers, deep learning modeling of parameters of cement composites. The project is realized at the Bydgoszcz