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-assisted Simulations of Microstructure driven Mechanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced characterization
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required with members of the Institut des Matériaux de Nantes Jean Rouxel. Experimental approach to the mechanisms of selenium incorporation in aluminoborosilicate glasses: Application to the immobilisation
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13 Mar 2026 Job Information Organisation/Company Ecole Centrale de Nantes Department Civil Engineering Research Field Engineering » Civil engineering Engineering » Mechanical engineering Computer
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3 Apr 2026 Job Information Organisation/Company Vytautas Magnus University Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Apr 2026 - 17:00 (Europe/Vilnius) Country Lithuania Type of Contract To be defined Job...
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We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is...
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uniform temperature assumptions. This PhD will investigate the thermo-mechanical behaviour of concrete under multiaxial stress at elevated temperatures, with a particular focus on how strength degradation
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Department/School: Psychology and Clinical Language Sciences Supervisors: Dr Katie Barfoot, Dr Daniel Lamport, Dr Gemma Walton Project Overview: Are you interested in how diet influences mental health and brain function? This PhD explores how bioactive compounds in cocoa may support mood,...
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3 Mar 2026 Job Information Organisation/Company Maastricht University (UM) Research Field Engineering » Biomedical engineering Engineering » Mechanical engineering Researcher Profile First Stage
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much better understanding of the fundamental mechanisms that enable this pathogen to persist and cause disease. Mycobacterium tuberculosis is a remarkably unusual and successful pathogen that, unlike
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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive