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mechanisms such as decohesion, accelerated diffusion, and interfacial responses under rapid thermal cycling. In parallel with the numerical approaches carried out at the ICB laboratory, partners of the ANR
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) Expertise in further programming languages (in particular C++), GPU programming, parallel programming or high-performance computing are highly valued Keen interest in neuroscience is essential Experience with
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Job Status Full-time Offer Starting Date 2 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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requires very fine meshes (105 to 106 computational points). This entails considerable CPU and data treatment/storage costs. These issues can be alleviated by using scale transfer methods. This approach has
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study will leverage existing numerical resources and mobilize advanced methods from software engineering to develop a robust and adaptable framework for manipulating and coupling different models
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4 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique de la matière condensée Research Field Physics Chemistry » Computational chemistry Researcher Profile First
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areas requires very fine meshes (105 to 106 computational points). This entails considerable CPU and data treatment/storage costs. These issues can be alleviated by using scale transfer methods
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of numerical methods Geophysical fieldwork experience, preferably with GPR and EMI Strong English writing skills (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally
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: Microelectronics; Gordon Roberts ECSE 343: Numerical Methods in Eng; Roni Khazaka ECSE 353: Electromagnetic Fields & Waves; Thomas Szkopek ECSE 354: Electromagnetic Wave Propagation; TBA ECSE 362: Fundamentals
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of their respective concentrations will be investigated and correlated with the velocity field recorded by PIV (Particle Image Velocimetry). In parallel with the use of standard post-processing methods, an innovative