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The successful candidate will be responsible for: 1. Develop the numerical and analytical tools required to design these tunable random architectures and predict the mechanical behavior
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measurements, especially in an embedded environment. Organisational skills are essential to manage the project work and the test campaigns, which can last for weeks/months. In order to put the tests in place
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methodological development and applied work, with expected contributions to scientific publications and participation in collaborative meetings with the partner institutions. PhD in AI or statistics, machine
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materials in extreme conditions. https://gaelgrissonnanche.com/ Key Responsibilities Engineer Novel Thermometers: Design and nanofabricate innovative thin-film thermometers in cleanroom. Perform High