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, train responsible engineers and place scientific and technical excellence at the service of teaching, research and innovation. As part of the project to evaluate regional support mechanisms for lifestyle
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computational approaches to biological systems. Its core activity is the development of deep learning methods for protein design and optimization, with applications in biology and medicine. - activities: We
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outlined below, contributing to the design and execution of experiments aimed at identifying the behavioural and physiological mechanisms that facilitate nematode adaptation to arsenic-rich environments
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position in our group on experimental realization and diagnostics of multiphase flow problems. In our project we aim to develop reliable diagnostic tools to help designing efficient removal/mixing systems
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for the culture and maintenance of the amphibian model Xenopus laevis (wild-type and transgenic lines). He/she will design and carry out developmental exposure protocols to microplastics. He/she will use
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recruited by the CNRS, a public multidisciplinary research organization under the supervision of the French Ministry of Higher Education, Research, and Innovation. The postdoctoral researcher will join a
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to explore systems in which light (near-infrared) and acoustic phonons (20–300 GHz) can be confined simultaneously. Numerical simulation and optimization of acoustic and optical resonators Design and
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, the research involves participation in the design of quantum devices with our collaborators within the QLSI2 european consortium, optimization of spin readout at large scale, development of automatic control
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Dumenil, where intravital imaging approaches will be performed. - Conduct independent research on the chosen topic - Design, perform, and interpret experiments - Present results to the scientific community
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master's students). The recruited researcher will be based at the LRGP on the Grandville campus in Nancy. The research work will be carried out as part of the Imosycca project, which aims to design small