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: Extensive experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and
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research methods building on Impresso’s corpus of multilingual newspaper and radio sources provided by a network of Western European partners Contribute to the design of the Impresso Web App and the Impresso
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project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g., omics or clinical data), using statistical methods, pathway/network
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methodologies, with a strong spatial analysis component. The department has two research teams: Living with Urban Dynamics, focused on individual behaviors related to flexible living, health & space and urban
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quantitative and qualitative methodologies, with a strong spatial analysis component. The department has two research teams: Living with Urban Dynamics, focused on individual behaviors related to flexible living
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, transportation, socio-spatial inequalities, or related geographic areas ;- A good knowledge of AI/GeoAI (Machine learning, Deep learning…) and quantitative methods (statistical and spatial analysis). Completion
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M-2435 POSTDOCTORAL RESEARCHER IN IMPACT DAMAGE OF COMPOSITE STRUCTURES (MANUFACTURING/EXPERIMENTAL)
· Experience in impact testing (ballistic) · Proficient in advanced destructive (e.g. DIC) and non-destructive (e.g. US, SHM, …) methods · Strong analytical and problem-solving abilities · Good
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or urban experimentation ;Extensive experience with interviews, transcript coding, and analysis ;Knowledge of visual and reflexive participative methods (e.g., Photovoice, visual diaries, walking with
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supervision: evaluate, select, and apply scientific methods; conduct experiments and tests (following predefined protocols); make critical analysis, evaluation, and synthesis of new or complex ideas; evaluate