{"id":4,"date":"2011-12-08T11:55:34","date_gmt":"2011-12-08T11:55:34","guid":{"rendered":"http:\/\/project.inria.fr\/template1\/?page_id=4"},"modified":"2026-03-05T15:46:58","modified_gmt":"2026-03-05T14:46:58","slug":"home","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/mlsim2026\/","title":{"rendered":""},"content":{"rendered":"

Objectives<\/h1>\n\n\n\n

For the last few years, machine learning techniques have fastly emerged as a disruptive way to analyze complex systems in absence of models, on the basis of observational data. Despite their potential, the naive application to physical problems has however revealed some critical drawbacks, such as the lack of accuracy, robustness and explainability, the expensive training or the inability to intrinsically verify some established physical principles.<\/p>\n\n\n\n

To overcome these limitations, the hybridization of machine learning techniques with classical scientific computing methodologies is a promising research axis.<\/p>\n\n\n\n

In this context, the objective of the thematic semester Machine Learning + Simulation<\/strong> is to contribute to the development of these activities, by building bridges between specialists of machine learning and experts in simulation for various application fields.<\/p>\n\n\n\n

Thematic semester<\/h1>\n\n\n\n

Events<\/h4>\n\n\n\n

The thematic semester Machine Learning + Simulation <\/strong>at Universit\u00e9 C\u00f4te d’Azur <\/strong>organizes in 2026 some scientific events related to the interaction, coupling and hybridization of machine learning techniques and simulation methodologies, in particular a Summer school<\/a> and a Fall Workshop<\/a>.<\/p>\n\n\n\n

Internships<\/h4>\n\n\n\n

A set of Master2 internships<\/a>, whose topics are in line with the semester, are granted in 2026 at Universit\u00e9 C\u00f4te d’Azur.<\/p>\n\n\n\n

Visits and seminars<\/h4>\n\n\n\n

Some professors \/ researchers are invited in 2026, giving seminars<\/a> on selected topics.<\/p>\n\n\n\n

Organisation team<\/h1>\n\n\n\n

The thematic semester is organized by:<\/p>\n\n\n\n

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