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Field
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image processing and analysis method development. The position builds on the lab's track-record in the field of computational imaging techniques for super-resolution microscopy and image analysis
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on silicon nitride platforms, enabling highly sensitive, label-free detection of biomolecules for astrobiological research. An essential component of the technology is chip functionalisation with receptor
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Interferometer (aMZI) sensors on silicon nitride platforms, enabling highly sensitive, label-free detection of biomolecules for astrobiological research. An essential component of the technology is chip
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Discrete Element Method (DEM) models to simulate the charging and formation of multi-component, poly-disperse burden mixtures in the blast furnace. The goal is to optimize burden structure and permeability
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of light metal alloys and mitigation strategies, including conventional electrochemical analyses such as PDP and EIS. Experience optionally on surface analysis methods (eg. SEM, XRD, XPS, AFM). Critical and
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. Proven and extensive experience in corrosion research of light metal alloys and mitigation strategies, including conventional electrochemical analyses such as PDP and EIS. Experience optionally on surface
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9 Oct 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Educational sciences » Education Educational sciences » Teaching methods Engineering » Design
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social, ecological and technological system (SETS) elements that make up the urban metabolism of the PoA. The research will be carried out in co-development with stakeholders in the port area. It will
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perceptions within the context of the broader social, ecological and technological system (SETS) elements that make up the urban metabolism of the PoA. The research will be carried out in co-development with
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complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component. The research of the Information Retrieval