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training of an artificial intelligence algorithm capable of automatically segmenting the bony structures of both healthy and fractured tibial plateaus. This will serve three main purposes: 1) Enable
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benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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information about the position please contact: Prof. Denis SCUTO Your profile Master's degree in Digital History, Data Science, Historical Migration Studies, Digital Humanities, or a related discipline Proven
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researcher will collaborate closely with Prof. Dr Claude Houssemand (https://wwwen.uni.lu/forschung/fhse/desw/people/claude_houssemand/ ) on topics related to cognitive differential psychology, especially
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, transport, or defense. On the technical side, we aim at combining statistical latent variable models with deep learning algorithms to justify existing results and allow a better understanding of their
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the technical side, we aim at combining statistical latent variable models with deep learning algorithms to justify existing results and allow a better understanding of their performances and their limitations
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research work will be to devise efficient algorithms for source separation in DAS measurements. Issues such as large data volumes that can exceed 1 To per day and per fiber, instrument noise, complex nature
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at the Bachelor's and Master's level, contributing to the delivery of interdisciplinary courses on human rights For further information, please contact Prof. Dr. Robert Harmsen: Your profile Ph.D
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slicing. - Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand. - Propose and
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analyzed. The tensor model structure estimated by suitable optimization algorithms, such as that recently developed in [GOU20], will be considered as a starting point. • Exploiting data multimodality and