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of damage and fracture in meta-material composites. This post includes registration for, and completion of, a Doctor of Philosophy (PhD) in Engineering. The project title is DC10: Development of deep learning
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catalytically active composite materials by combining these MOFs with a library of enzymes produced by a partner laboratory. The materials obtained will be characterised in terms of their structure, as
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membranes. Main responsibilities The position involves development of both experimental and computational protocols for: (1) preparing liposomes with compositional and/or number imbalance between
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 7 days ago
simulations and models. Workplan involved construction of chemical networks and analyzing them. Additional topics may include exploring those replicators’ errors. The success of this project will teach us about
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force microscopy, and the sensor response is monitored via electrical measurements. The goal is to correlate surface structure and composition with sensing behavior, contributing to a multimodal
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algorithms for anomaly detection and predictive maintenance of subsea structures Duration: 6 months Maximum Duration Including Renewals: 12 months Objectives Development of AI-driven models to identify
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optimization of organic, inorganic, and composite coatings Implementation and optimization of plasma deposition processes at low pressure and atmospheric pressure Characterization of compositional, structural
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characterisation of: Electrical properties (ionic and electronic conductivity) Crystal structure and chemical composition Equality, Diversity, and Inclusion Equality, Diversity, and Inclusion is at the heart of the
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reference to financial structure decisions, the composition and cost of funding sources, and, from a broader perspective, risk management. The analysis will focus on the effect of exposure to climate risk on
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to develop a comprehensive framework for the material characterization. The focus will be on employing hyperspectral imaging techniques to analyse and quantify the physicochemical and structural properties