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trials Microstructural characterisation using electron microscopy (SEM & TEM), X-ray diffraction, and differential scanning calorimetry Mechanical performance assessment, including small-scale tensile
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titanium alloys. The research will involve: Alloy production via arc melting, hot rolling, and simulated forging trials Microstructural characterisation using electron microscopy (SEM & TEM), X-ray
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
-chemical characterization techniques (SEM, TEM, confocal, FTIR) or flow cytometry Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled
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for interdisciplinary research Preferred experience: Research experience in biomaterials or drug delivery Familiarity with physico-chemical characterization techniques (SEM, TEM, confocal, FTIR) or flow cytometry
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chemistry), graphene chemistry, advanced materials characterization (XRD, TGA, STEM, SEM, FTIR, particle size distribution, AFM), experimental physics, chemical engineering, materials science. You will be
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, or a related field #strong background in metallurgy, slip/twinning mechanisms, and mechanical behaviour of metallic materials is essential #experience with Mg alloys, micro-compression and SEM-based
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characterization techniques such as: World-class electron microscopy X-ray diffraction (XRD) Scanning electron microscopy (SEM) Transmission electron microscopy (TEM) Energy-dispersive X-ray spectroscopy (EDS
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) petrographically (transmitted light, cathodoluminescence and SEM) and determine their stable isotope composition of calcite to distinguish the products of physio-chemical and biological processes. You will also
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quantitative field ;•Excellent knowledge and experience in regression analyses (SEM, multi-level, discrete choice behavior modeling…) based on statistical software (R, STATA or SAS) ;•Excellent skills in GIS
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experience in regression analyses (SEM, multi-level, discrete choice behavior modeling…) based on statistical software (R, STATA or SAS) ;•Excellent skills in GIS, Python is an asset ;•Excellent communication