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than 1,800 employees and nearly 21,600 students. The research group in Electronic Systems at the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology is
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sorina.palacean@ubbcluj.ro Requirements Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications experience in synthesis and structural characterization (NMR, IR, MS) of organic and
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optical waveguide structure. The current project focuses on advancing a surface-sensitive, label-free waveguide scattering microscopy (WGSM) platform for nanoparticle characterization in advanced therapies
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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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: 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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, Sustainable Materials for Next Generation of Pneumatic Tires, Structure-Process-Properties Relationships. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute
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the structural, mechanical and thermal characterization of polymers Responsible for presenting and reporting research results and publishing scientific results in peer-reviewed journals in a timely manner Ensure
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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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research supplemented by ethnographic work (participant observation, informal conversations, semi-structured interviews in person or remotely, oral histories, etc.) concerning the informal geographies
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-structured datasets Experience in applying theory-driven approaches to educational data, ideally in learning analytics or digital education settings Ability to design, implement, and critically evaluate data