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postdoc, you will contribute to research and teaching within advanced modelling, optimization and design of composite and lightweight structures for applications such as wind turbine blades. Your work tasks
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Laboratory. You will be responsible for: Advancing numerical modelling methodologies for 3D woven composites Designing and conducting high‑rate and impact experiments on 3D woven composite architectures
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Laboratory. You will be responsible for: • Advancing numerical modelling methodologies for 3D woven composites • Designing and conducting high‑rate and impact experiments on 3D woven composite architectures
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Description of the offer : For this modeling project, we are looking for a postdoc with expertise in micromagnetic modeling to model the magnetic properties of a novel type of rare-earth-free
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 14 days ago
coatings. Evolution of concepts for synthesis of new or improved materials and composites having potential for use in high-performance aerospace applications. Computational and theoretical materials modeling
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with studying linear and differential cryptanalysis. Then, a particular attention will be taken at differential-linear attacks or more generally at statistical or composite attacks. We will, after having
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the computational task: first-principles active-site descriptor models, high-throughput screening with machine-learned interatomic potentials, and a dedicated catalysis database. This position is ideal for a
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cancer development, progression, and metastasis. The successful candidate will combine advanced cell and tissue culture methods with bioengineered model systems, quantitative microscopy, and molecular
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cells. Compounds identified through a pharmacological screening approach represent promising therapeutic leads, including in models of bortezomib-resistant cell lines. The project combines a fundamental
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. This line of research is explicitly focused on the identification of large-scale macroecological patterns using established and innovative statistical modelling approaches. Beyond this research focus