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how the infrastructure works and make scientific analysis usable by everyone. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5560-VALTHO-012/Candidater.aspx Requirements Research
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the development of reformulation or relaxation techniques. Problem and Objective of the thesis This project proposes to address the issue of efficient analysis and synthesis of interconnected heterogeneous systems
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-mentioned scenarios at laboratory scale; a parametric analysis with respect to loading conditions should be taken into account; – participating to the update of the Digital Image Correlation software
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) analysis on gold surfaces. The student will develop a data analysis method (e.g. statistical methods) to identify the main parameters driving metabolite-surface interactions in the presence of different
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) data analysis. Material developments will be supported by this new disruptive methodology. Strengths and appeal of the subject Innovative research topic with strong scientific and technological
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Description Probing neural representations of speech, in parallel with experimental phonetic analysis of the same data (collected in the field); placing the results in the context of linguistic typology. In
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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
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collaboration (neuroscience, artificial intelligence, cognitive psychology) and aims to develop a novel theory of auditory scene analysis in the brain and in machines. In Marseille, the group focuses
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, including machine learning and language technologies, for the integration and analysis of clinical, advanced data harmonisation, and next generation research infrastructures. You will contribute to research
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating