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therapeutic strategies. - DNA-protéines complexes modeling - Molecular dynamics simulations of biomolecules - Enhanced sampling techniques (Steered MD, Gaussian Accelerated MD) - HPC resources use - Scientific
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• Development of a comprehensive chemical standards database • Bioinformatic/chemometric metabolite ID through online resources • De novo identification and structural assignment of metabolites and natural
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materials, particularly in the automotive and aerospace industries. While these compounds are generally derived from fossil resources, growing concerns about environmental issues are encouraging
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strong collaboration with Dr. P. D. Serpico. The position will provide access to CNRS/LAPTh computing resources, travel support, and a vibrant research environment involving several PhD students and
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Magnetic Field Laboratory (LNCMI) in Grenoble. --- Working at the LNCMI means benefiting from the CNRS's human resources and social action policies. These include the following benefits : - subsidized
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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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HTML5/CSS3, JavaScript and JQuery. - Knowledge of the SLURM resource manager. - Good practice in code maintenance and version management. - English required. - Curiosity, dynamism, autonomy. Website
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resources (super-resolution microscopy, nanosensors, microfluidics, etc.), combined with systematic multimodal and multiscale exploration supported by AI-driven analysis. These innovative methodologies
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capabilities, AI and data processing, as well as software to implement radio-astronomy workflows, including resource management and a workflow deployment API - Contribute to the implementation of modular
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under the supervision of Dr. Moradinezhad. The position offers access to CNRS/LAPTh computing resources and travel support, as well as rich interactions with collaborators at RWTH Aachen and TUM and with