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between chemistry and biochemistry. It is structured around two parallel PhD projects: one in chemistry (the position offered) and one in biochemistry, supervised by partner research team. This organization
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-field code, written in the Cuda C language and parallelized on a single GPU (Graphical Processor Unit). A parallelization on multiple GPUs would be a welcome development during the thesis. Where to apply
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efficiency Optical neuromorphic computing is emerging as a promising alternative to classical electronic architectures, offering advantages in terms of speed, energy consumption, and parallelism. Nonlinear
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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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infancy at low x. In parallel, the project addresses gluon saturation, a striking phenomenon expected to arise at very high collision energies. In this regime, hadrons are dominated by a dense system of low
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engagement. In parallel, a new docking software, MDSPACEdock, will be developed to enable rapid docking of potential ligands across the full conformational ensemble obtained by MDSPACE, rather than a single
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used to obtain a detailed map of the conformational states of VCP/p97, induced by nucleotide binding and miniprotein engagement. In parallel, a new docking software, MDSPACEdock, will be developed
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of absorbed light energy effectively converted into mechanical work. In parallel, the influence of the local polymer environment (the “photomorphon”) on photoswitch performance will be investigated using non
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massively parallel FFT-based simulation platform for polycrystalline plasticity, enabling efficient simulation of the mechanical response of realistic 3D microstructures. These simulations will be used
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massively parallel FFT-based simulation platform for polycrystalline plasticity, enabling efficient simulation of the mechanical response of realistic 3D microstructures. These simulations will be used