20 composite-materials-or-composite-structures-or-composites-simulation-or-composites-analysis PhD positions
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- Institute of Low Temperature and Structure Research Polish Academy of Sciences
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Technology . The position is for a period of 3 years. Desired start date: 1 May 2026 or earlier. The fellowship is part of TIES project “Tunable ion separations with micro-structured composite membranes
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involve protein handling, general laboratory (bio-)chemistry, data analysis and comparison to expected physics. Due to the complex structure of the composite material, we expect emerging effects which can
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | 5 days ago
thermal overexposures are a frequent yet often overlooked cause of material degradation, structural damage, and critical system failures. Thermal history phosphors offer a powerful solution by permanently
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workflows for descriptor based microstructure reconstruction to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property
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laboratory (bio-)chemistry, beamtimes at synchrotrons, data analysis and comparison to expected physics. Due to the complex structure of the composite droplets, we expect emerging effects which can contribute
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simulation experience; collaboration with leading researchers; and training in advanced characterisation, data analysis, and data interpretation. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4
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, integrating materials science, manufacturing processes, product and structural design, and lifecycle performance. A key outcome of FAST is the development of the FAST Virtual Lab, a digital framework combining
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | 5 days ago
data. This project will enhance our understanding of how the point symmetry of ions, host material stiffness, chemical composition, metal-oxygen bond length, and coordination number affect the manometric
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-scale numerical simulation framework to assess mechanical cloaking meta-structures within the ANR–FNR Metacloak project (Robust multi-scale design of meta-structures for mechanical cloaking from additive
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for improved understanding of structural and kinetic processes in electrolytes; and machine learning concepts for improved analysis of experimental and simulated data. Material Synthesis Within this research