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characterisation on the structural, physical and chemical features to enable a deeper understanding of structure-processing-properties relationships. In this position you will do research in several projects and be
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applicants will take place from March to April 2026. Awards for intake 2026 will be finalised by July 2026. Supported Areas for START Engineering Energy Resilience: Power electronic converters for distributed
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prominent example of the phenomena unique to the multi-orbital system is the so-called orbital-selective Mott phase (OSMP). Competing interactions can lead to the selective localization of electrons on some
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in composting. A relevant part of the project will be the overall material characterisation on the structural, physical and chemical features to enable a deeper understanding of structure-processing
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. Structural biology using electron microscopy, such as cryogenic electron microscopy (cryo-EM) and tomography (cryo-ET). The postdoc will be central for helping to grow the new lab and will collaborate closely
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to contribute to the design of qualitative (e.g., semi-structured interviews and video research), quantitative (survey development, descriptive/inferential statistics, application of Classical Test Theory or Item
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combined in one pdf file, a summary of previous research experience, a statement of your interest and motivation for the position (limited to 2000 characters), the email addresses of 2–3 references who can
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structural heart interventions. Maintain computer database of research data, tabulate and display data for presentation in research conferences and for manuscript preparation, use graphics and statistical
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: The postdoctoral researcher will contribute to ongoing research projects in computational modeling, multiscale simulation, and data-driven design of functional materials for structural applications. The position
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 13 hours ago
structure. • Integrate charging stations as nodes within the model, considering their capacity and pricing schemes. • Calibrate the model using real-world data and PIL methods to improve its predictive