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, images, networks, … A similar situation can be encountered in the context of medical data, where the data types may be even more large. It is therefore of strong interest to be able to analyze those
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to perceive their environment because this sensor can produce precise depth measurement at a high density. LiDARs measurements are generally sparse, mainly geometric and lacks semantic information. Therefore
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mouse models (FELASA or equivalent certification); Ability to handle and analyze large-scale omics data; Experience with gene cloning. Soft Skills: Strong sense of initiative, rigor, and motivation
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], which states that random neural networks can be pruned to approximate a large class of functions without changing the initial weights. We are also interested in Neural Combinatorial Optimization, where we
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this project we will draw analogies between memory dynamics in rodent brains and challenges in machine unlearning, particularly in foundation models such as Large Language Models. Using experimental data from
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to the development of innovative, large-scale testing in a multilingual environment? Join our team at LUCET and take a leading role in the design and development of state-of-the-art, standardized achievement tests in
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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interdisciplinary areas such big data, artificial intelligence, mathematical modeling, or chemistry. As a Principal Investigator at IRCAN, you will have the opportunity to: Lead and develop an independent research