Sujet de stage de master :

IA générative pour aider à la classification automatique des stades de développement du Plasmodium falciparum dans des images de frottis sanguins /!\ À noter que ce sujet de stage s’adresse préférentiellement à des étudiants de M2 mais, en fonction de leur profil et de leur expérience, des étudiants de M1 pourraient…

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Postdoctoral position : multi-modal microplastic particle identification and classification based on image analysis and with Raman spectra as reference

1 Information about the post-doctoral position Status: R&D employee of the startup company IZONICS,Duration: 12 months, with perspective enrolment as permanent staff (CDI). Scientific and technical supervision: Prof. Eva Dokladalova, Université Gustave Eiffel, ESIEE Paris, LIGM Lab.Prof. Tarik Bourouina, Université Gustave Eiffel, ESIEE Paris, ESYCOM Lab. and Co-founder of IZONICSOther…

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3-Years Ph.D – Decoding the preterm infants’ spontaneous movement language: definition, continuous recognition, and signature sequence detection

Context Prematurity, defined as birth before 37 weeks of gestation, affects 6% of live births in France and 10% worldwide and represents a major risk factor for neurodevelopmental complications, such as cerebral palsy, cognitive delay, language disorders, and behavioral disorders (1). Standard clinical and radiological neurological evaluations of preterm children…

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Stage M2/Bac+5 : IA contrainte par la physique pour la modélisation en sciences naturelles

Titre  IA contrainte par la physique pour la modélisation en sciences naturelles  Niveau  Master 2/Bac+5  Date de début  4 à 6 mois, démarrage autour de février/mars 2024  Ville, Pays  Annecy, France  Laboratoire Laboratoire d’Informatique, Systèmes, Traitement de l’Information et de la Connaissance – LISTIC  Description du sujet : En sciences…

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Spiking neural network compatible with ultra-low power hardware for train counting

Main contacts: marius.bilasco@univ-lille.fr, pierre.tirilly@univ-lille.fr An unsupervised spiking-based counting solution has been deployed by the FOX team at Lilliad’s Xperium. The prototype was build using ad-hoc spiking models that do not reflect the requirements of an efficient hardware implementation. In order to reach efficient hardware implementation, the neuron models and the…

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EventSpike – Asynchronous computer vision from event cameras – PhD opportunity

The FOX team of the CRIStAL laboratory (UMR CNRS), Lille, France, and the PR team of the MIS Laboratory, Amiens, France, are looking to recruit :       * a joint PhD student starting in October 2025  in the field of asynchronous computer vision from event cameras. Abstract: Video analysis is one of the fundamental tasks in computer vision. The dominant approach is based on deep neural networks…

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[PhD] EndoEmbryo: Hybrid AI to understand how intracellular trafficking shapes embryo morphogenesis.

Supervisor 1 Phillipe Roudot (philippe.roudot@univ-amu.fr) Institut Fresnel, ED184 Supervisor 2 Claudio Collinet (Claudio.collinet@univ-amu.fr) IBDM, ED62 Abstract The ability of cells and tissues to change shape during development relies on patterns of force-transmitting molecules at the cell surface, such as adhesion molecules (e.g. E-Cadherin), that anchor and regulate cell contractions. Those…

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Offer for a Postdoctoral researcher, IGDR, Rennes, France: use of deep learning and simulation to extract geometric parameters  of filaments in microscopy images

We have an open position for a postdoctoral researcher with expertises in deep learning and image analysis to join our multi-disciplinary team at the Institute of Genetics and Development of Rennes (https://igdr.univ-rennes.fr/en/ ). Deadline for application: January 23rd 2025. Our team’s research focuses on the robustness of cell division, using fluorescence microscopy and…

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