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performance requirements. In this project, you will combine cutting-edge approaches in polymer science and AI-driven modelling to develop predictive frameworks and high-performance adhesive systems for
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binders processable in non-toxic solvents. Combining academic and industrial expertise in polymer chemistry, physics, engineering and modelling from 13 research teams across Europe, POLY4EV will
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, data analysis, modelling and polymer quality characterisation techniques. You have affinity, and interest, in analytical method development, and you enjoy hands-on experimental work. You have a
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Job Description If you are building your career as a scientist in advanced manufacturing, micro engineering, data‑driven process modelling – and you are looking for a PhD position where your work can
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Description Funding project: ANR DGA-ASTRID ‘SAFE-FIRE-CABLE’ Host institution: “Reaction and Resistance to Fire” (R2F) team, UMET Laboratory ( https://umet.univ-lille.fr/ ), Centrale Lille Institut
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Job Description If you are building your career as a scientist in advanced manufacturing, materials innovation, or simulation/data‑driven process modelling – and you are looking for a PhD position
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medical technology, materials science, renewable energy, to chemical engineering processing, material recycling, nuclear chemistry, theory and modelling. At the division of Applied Chemistry we primarily
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expertise in molecular dynamics, and in addition electronic structure calculations, multiscale modelling, or finite element analysis to polymer and composite modelling. Analyse computational and
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optimization approach for the lightweight design of 3D-printed polymer components reinforced with continuous fibers. Artificial intelligence will support the identification of optimal geometries, material
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Qualifications: Experience with polymer microfluidic devices Experience with protein crystallization Experience with numerical modelling Application Instructions Only electronic submissions will be reviewed