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Postdoc (f/m/d) in Irradiation Tolerance of Additive Manufactured Ferritic/Martensitic Steels for...
. Ferritic/martensitic steels, especially the Eurofer alloy specifically developed for fusion applications, are among the most promising material candidates. To enable the fabrication of complex geometries and
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Statistics (EPS), and Geometry, Topology, and Algebra (GTA). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5149-NATCOL-029/Candidater.aspx Requirements Research FieldMathematicsEducation
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their geometry to external factors. Comcumitantly with these experimental works, this post-doctoral work will mostly focuses on advanced computational studies to understand the photophysical properties
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of quantum experiments and quantum algorithms for computational geometry problems. Prior expertise in these areas is highly encouraged. The selected candidate will work on cutting edge technologies in
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" your main tasks are: Carry out research in the research group Geometric Learning and Differential Geometry within the Centre for Analysis, Scientific Computing and Applications (CASA) of the Department
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through 16 teams or themes organised into four clusters: the Control and Diagnostics Cluster (PAD), the Data Science Cluster (PSD), the Speech and Cognition Cluster (PPC), and the Geometries, Learning
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interns, and will expand with additional postdocs and PhD students early 2026. The laboratory is physically located at Kemicentrum in Lund and is also part of the vibrant NanoLund environment, which brings
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semiconductor characterization teams within NanoLund. The Saragovi Lab currently includes several master’s students, and research interns, and will expand with additional postdocs and PhD students early 2026
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components. This specific postdoctoral project aims to develop methods for designing 2D protein lattices that serve as scaffolds for attaching other protein assemblies with precise geometry, thereby creating
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have great impact in academia and industry. Your research direction and work assignments You will develop methods, based on computational geometry, to generate spatial information of nanoparticles