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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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materials to enhance the cell robustness. Work plan The work plan for the PhD thesis will be divided in three main steps: 1) A chemo-mechanical model will be built to predict the crack initiation and
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, composition, and optical, electrical, and thermal properties of the materials involved in the project (vanadium and its oxides, in nanostructured formats), among others Specific Requirements Requirements as
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in Python for scientific data analysis Strong analytical abilities and capacity to work collaboratively in a multidisciplinary team A PhD degree (or equivalent) in chemistry, materials science, physics
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of this PhD project is to determine how night-light LED color alters diurnal and nocturnal plant chemistry and how these ALAN-driven changes influence plant–insect interactions. You will run field and lab
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focused on the development of advanced materials for sustainable electronics. Project Overview The PhD project will focus on the development and characterization of conductive and biodegradable pastes and
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examine the collected materials. Phase 3: Model & Method Development - Map findings onto established design processes and propose a framework to guide researchers and practitioners. Phase 4: Outcomes
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of PhD-level scientists, graduate, and undergraduate students working at the intersection of water treatment, materials science, and civil engineering. Applicants should have experience in synthesizing
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Centrale Lyon Innovation - Ecole Centrale de Lyon | Saint Etienne, Rhone Alpes | France | 2 months ago
composite materials (PRF: Polymer Reinforced Fabric) has made it possible to overcome certain limitations of the various implementation techniques, they are nonetheless ineffective with regard to the fire
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collaborates with prestigious global companies and institutions. This PhD project, a collaboration between AMADE and Btechc, addresses the high computational cost of modelling failure in large-scale composite