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at developing novel materials with the potential to drive advancements in multiple industries. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality
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ideas and results in a strong interdisciplinary context (ecology, computer vision, machine learning experts) but also a non-scientific audience (end-users) Class B driving license Your LIST benefits
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ideas and results in a strong interdisciplinary context (ecology, computer vision, machine learning experts) but also a non-scientific audience (end-users) Class B driving license Your LIST benefits
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of structures, facilitating a form-finding process driven by FEM analysis. Training deep learning algorithms to suggest multiple structural concepts tailored to specific boundary conditions. Expanding FEM
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
the complexity and capabilities of Machine Learning (ML) models have made Artificial Intelligence (AI) able to tackle challenges ranging from vision and graphics to natural language, and even creative tasks
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The proposed PhD will mix knowledge from multiple domains: (1) orthopaedics with the focus on shoulder surgery, (2) computer vision with the SSDM to model the scapula, (3) biomechanics with FE models and their
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machine learning model to optimise sensor configurations (for multiple unit sensors) for a given application. The project will bring together Soft Matter, Biomedical Engineering and Data Science to generate
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developing the skillset on underwater perception technologies within topics such as: Qualifications: A master's degree in computer vision, computer science, robotics, electrical engineering, or a related field
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, machine learning, remote sensing, and oceanography to tackle the challenges of capturing and interpreting complex geophysical processes. 1.5. References [1] Torres, R., Snoeij, P., Geudtner, D., Bibby, D
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degree in a relevant discipline (cognitive neuroscience, neuroscience, computational neuroscience, psychology, cognitive science, machine learning/data science/AI). Start date: 1 October 2025 Funding