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in a strongly heterogeneous setting (e.g., CPUs+GPUs). Additionally, this work can benefit from the developments of WP1 and WP2 of Exa-SofT around the development of optimization techniques
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spontaneous orbital ferromagnetism. The research will combine advanced sample fabrication, optimization of magnetic sensors, and low-temperature, low-noise measurements of the transport and magnetic properties
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modularity and sequence addressability. - Assembly and optimization of the folding DNA origami nanostructures - Functionalization of DNA origami with proteins, peptides, fluorophores, nanoparticles, or drug
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techniques; Structural and functional characterization of interfaces and junctions, in particular through nanoscale analyses; Development, adaptation, and optimization of experimental methodologies
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
work will consist of optimizing the codes that generate input data and process output data. • The postdoctoral researcher will carry out comparative work using data from geodesy and seismology
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sciences » BiologyEducation LevelPhD or equivalent Skills/Qualifications Applicants should hold a PhD in biological or life sciences obtained within the past two years and have a solid background in cell and
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specialized in instrumentation / electronics. NMR/MRI acquisition sequences: implementation, optimization of standard sequences and innovation at very low field, with a focus on acceleration procedures and
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optimization methods for catalytic systems, such as highthrouput experimentation (HTE, collaboration with the HTE platform of the CEA Saclay) and DFT computations, and be trained in these techniques if he/she so
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months of the project. Requirements for this position: PhD in civil engineering or related area Expertise on structural health monitoring (SHM) or concrete testing Experience in laboratory / full scale
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demonstrators, to be optimized and evaluated on flexibility, sustainability and efficiency for the corresponding use-cases, including the use of new and emerging specialized AI-focussed accelerators for radio