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and implement Bayesian graph neural networks and convolutional neural networks as surrogates for high-fidelity biomechanical models Quantify and propagate uncertainty, and develop strategies for model
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, which aims at developing approaches to limit the impact of operating conditions on the durability of PAC systems, while being easily implementable on a commercial and economically viable system
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ongoing in-house research programmes, the running of the beamline and providing support to external users as a local contact. You will also be encouraged to develop your own research projects, which should
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. Your
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to support career development and encourage innovative thinking to tackle major challenges in Immunology. About the role We are seeking a highly motivated Postdoctoral Research Associate in Immunology to join
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, cultural and artistic partners. Through this participation in the development of the research programme, the post doctoral researcher will contribute to strengthen reliable connections between FrED-EHIC
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resources and Environmental protection: natural attenuation and system resiLience), which aims to analyze the spatio-temporal evolution of waste from a former mining site that has been subject to weathering
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Description: The LAPTh (CNRS/USMB) invites expressions of interest for a postdoctoral researcher position in theoretical cosmology. The position is dedicated to developing a robust and efficient framework
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aims to understand the dynamics, functioning and evolution of living organisms. The work will involve interaction with members of the ANR ECOPATHS and IPEV ECOPATH projects, carrying out work in the
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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