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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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Qualification Type: Doctor of Philosophy in Engineering (PhD) Funding for: UK and International Funding amount: Refer to advert Research area and project description: A fully funded PhD studentship
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Technology » Construction technology Technology » Dating techniques Technology » Electrical technology Technology » Energy technology Technology » Environmental technology Technology » Future technology
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decision engines Experience with quotation systems, cost modelling, BoM structures or engineering commercial workflows Knowledge of security, compliance, backup and disaster recovery in connected production
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strongly influence pedestal structure, confinement, and the approach to disruptive events. These processes are difficult to diagnose experimentally and too computationally intensive to model in real time
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environmental applications. Objectives : This PhD thesis seeks to reveal fundamental surface structure-property relationships by bridging state-of-the-art experiments with predictive computational methods
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are seeking a Reliability Testing Engineer with a recently completed PhD and a strong background in thin-film reliability for implantable or bioelectronic systems, together with experience or familiarity in
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fabrication-structure-property-performance relationships in novel materials for sustainable desalination and water treatment. The candidate will work in a multidisciplinary environment consisting of PhD-level
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100%, Zurich, fixed-term The Advanced Manufacturing Lab (am|z) at the Department of Mechanical & Process Engineering (D-MAVT) at ETH Zurich develops advanced manufacturing methods and systems
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within a single system remains largely unexplored. The objective of this PhD is to design and validate a new class of acoustic partitions based on a double-layer concept, combining a structural ABH layer