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Field
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rates, antagonist interactions and failure mechanisms of conventional and emerging crown materials. Building on the Oslo wear model, the project will adapt wet abrasion testing from composite fillings
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chromatographic techniques such as LC-MS and GC-MS. Additional experience in the bioprospecting of bioactive extracts, particularly in the assessment of their biological activity using cell-based models, will also
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Apply by: 12/10/2026 Role Description About the Role We are looking for an enthusiastic researcher to develop advanced modelling and optimisation methods to support the transition towards lower-carbon
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About the Role We are looking for an enthusiastic researcher to develop advanced modelling and optimisation methods to support the transition towards lower-carbon, more efficient and resilient transport
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
project is develop computational models for the high-fidelity finite element (FE) analysis of the behaviour of advanced thermoplastic-based composite materials. These models will effectively link
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or interpolated. 6. Work Plan: The work plan to be developed during the scholarship is within the scope of the project tasks, including: a) Development of numerical comprehensive models applied to gasification and
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Materials Science, Characterisation Materials Science, Defense Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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vivo models of AD. The candidate will perform the following tasks: 1. Encapsulation of the drug in liposomes and exosomes and their respective characterization; 2. Treatment of neuronal and astrocyte
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into models of stratospheric chemistry to quantify their effects on stratospheric composition, with particular emphasis on ozone. The postdoctoral fellow will also participate in planned stratospheric airborne
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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in