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, University of Grenoble Alpes and Grenoble INP. The PhD student will work in a very dynamic team having the expertise with processing materials in solid and liquid states using external (magnetic, electric
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postdoctoral position focused on ultrasound and MRI acquisition and post-processing, as well as investigating the relationship between imaging and biological parameters. The postdoctoral fellow will work on
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least master's-level training in biomedical engineering, electrical engineering, signal processing or equivalent training, with a strong foundation in applied mathematics and programming. • Hands-on
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. Knowledge of the physical and chemical processes simulated in the model, including cloud microphysics and interactions with aerosols. - Visualization and post-processing tools: Proficiency in visualization
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. - Proficiency in image analysis and processing software. Behavioural Skills - Teamwork. - Rigorous approach and adherence to experimental protocols. - Ability to carry out experiments independently
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coupled approach combining instant non-destructive testing with continuous monitoring using sensors (ACP data processing, AI, etc.), - and to propose an “alert tool” based on the established
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ability to develop reproducible processing procedures. * Knowledge of machine learning and an interest in language models. * Ability to analyse complex data and assess the uncertainties and limitations
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Information Eligibility criteria Knowledge: signal processing, seismology, microseismicity Skills: working in mountainous terrain, data collection, data analysis (using Python or MATLAB) Interpersonal
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interviews ; - Processing of survey data, textual analysis; - Graphical representation of results; - Production of original images of the area; - GIS, cartography; - Presentations, animations and public
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innovative methods for natural language processing that address concrete problems and are both theoretically rigorous and interpretable. The PhD is funded by the ERC CoG PANDORA (Deep Multimodal Learning