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both modeling and physical experiments of the structure and thermo-mechanical response of single and polycrystalline shape memory alloys; prepare reports, manuscripts, and proposals, advise undergraduate
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), whose objective is to extend the HLA-Epicheck model, originally developed within the framework of a PhD thesis, and to implement new deep learning approaches to assess donor–recipient compatibility in
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integrating different decision layers (supply chain, planning and rescheduling of production processes), with a specific focus on developing collaborative models on how to optimally link the different decision
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modelling, related to advanced manufacturing processes. This includes the use of a variety of different laboratory methods such as mechanical and µ-mechanical testing, optical microscopy, SEM-EDX/EBSD, X-ray
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multidisciplinary and intersectoral team with vast experience in training and innovative research deployment. MATCH comprises some of the most renowned European universities, spanning across 6 different European
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problems. However, they are still plagued by undesired interactions between different quantum bits (crosstalk) and between quantum bits and the environment (decoherence). These effects limit the size
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that support data engineering, analytics, and predictive modeling needs. Build and maintain ETL/ELT processes to extract, transform, and load data from enterprise systems into cloud platforms such as Azure
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WP3); Comparison of different approaches and resulting models for the Gilão Basin (WP2 and WP3); Organization and participation in Regional Workshop II: presentation of model results (WP2 and WP3
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MATCH Doctoral Network, a Marie Skłodowska-Curie Actions (MSCA) project funded by the European Union, is currently recruiting highly motivated candidates for fully funded PhD positions across top
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an integrated model of care for early management of individuals with moderate-to-severe traumatic brain injury (msTBI) who have pre-existing mental health difficulties. Reporting to Associate Professor, Grahame