Northern Paris Computer Science Lab

The Laboratoire d'Informatique de Paris-Nord (LIPN) is a joint research unit (UMR 7030) between the CNRS and the University of Paris XIII, called Université Sorbonne Paris Nord (USPN), with 150 researchers. Its main research thopics are machine learning, combinatorial optimization and high performance computing, design and analysis of combinatorial models at the interface of physics, geometry and algorithmics, foundations of computation and formal verification, automatic natural language processing and knowledge representation.

The LIPN offers theses, internships and postdocs. To see our offers in more detail, please visit the recruitment page !

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On our agenda you will be able to find all our articles grouped on one page and grouped by category so don't hesitate to have a look at it.

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Automatic Seminar

Optimisation problems

Bruno Escoffier

2023-01-16 14:30:00, #SéminaireComp
Hybride (Salle B107 et https://bbb.lipn.univ-paris13.fr/b/sei-nlh-8vr-xvy)

#LoVe Seminar

Directed homotopy type theory

Paige Randall North

2022-12-01 10:30:00, #SéminaireLoVe
Salle B107, bâtiment B, Université de Villetaneuse

#LoVe Seminar

Titre bientôt disponible

Daniel Osorio

2022-12-02 12:30:00, #SéminaireLoVe
Salle B107, bâtiment B, Université de Villetaneuse

Thesis

A PhD scholarship in Computer Science in Paris: Model Checking for Malware (Virus) Detection

Contact: Tayssir TOUILI  (touili@lipn.fr)

A PhD  position is available in the “LoVe” team in the Laboratoire d’Informatique de Paris-Nord (LIPN), Villetaneuse, France.

The  recruited  PhD student  is expected to investigate and develop novel techniques, algorithms and tools for
malware detection. The ultimate goal is to built
Read more...

#LoVe Seminar

Titre bientôt disponible

Hugo Paquet

2023-02-02 10:30:00, #SéminaireLoVe
Salle B107, bâtiment B, Université de Villetaneuse

#LoVe Seminar

Non-deterministic abstract machines

Sergueï Lenglet

2023-01-05 10:30:00, #SéminaireLoVe
Salle B107, bâtiment B, Université de Villetaneuse

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