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expertise in artificial intelligence, computer vision, human-computer interaction, and psychology. Its technical core lies in developing robust and adaptive visual speech recognition models. Close
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insights for streaming, broadcast, accessibility and media production. Candidate profile Applicants should have a background in machine learning, audio engineering, speech processing or a related discipline
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or Mathematics. Excellent English written and spoken communication skills. It is desirable that candidates possess expertise in some (but not all, or even most) of the following areas: Microbiology, Bacteriology
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writing and oral communication skills; good command of scientific English (written and spoken). Additional Information Selection process laura.michel@umontpellier.fr and [email protected] Work
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Science (Information and Signal Processing), Speech, and Cognition. The unit conducts its research through 11 teams organized into 4 research departments: - Automation and System Safety - Data Science
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the occurrence and composition of VOCs in rainwater and their implications for ecosystem processes in Mediterranean environments. The research will combine field observations, advanced chemical analysis
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testing the intervention programmes; manage data collection, data processing and scientific analysis of the programmes’ effectiveness; contribute to the preparation of the project’s required deliverables
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have: MSc in engineering or similar discipline by the start date of the position Experience with mechanical modeling and simulation Experience in computer programming/scripting (e.g., C++, Python, Matlab
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regenerative capacity of liver tissue. Your work will involve the use of research animals to investigate cell-cell interactions during regenerative processes and to developed new in vitro organoid models. You
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, speech, gaze, affective dynamics and interaction patterns. This PhD project will develop personalised AI models for computational mental health by simulating the latent cognitive processes underlying