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Laser Plasma Electron Acceleration with kHz Lasers – HighRep
The general objective of the project is to push the development of a laser-plasma accelerator operating at kHz repetition rate. We wish to bring high-repetition rate laser-plasma accelerators to a higher level of maturity by enhancing significantly their beam quality and more specifically their stab
interdisciplinary Project on Privacy
Le projet IPoP s’intéresse aux menaces vis-à-vis de la vie privée introduites par les nouveaux services et technologies numériques et à la conception des solutions théoriques et techniques de protection des données personnelles. Afin d’atteindre ces objectifs, nous adoptons une approche interdiscipl
Macrophysiological system to improve the understanding of the action mechanisms of intra-articular therapeutics on joint tissues – MaPSJoint
There is no treatment to reverse the osteoarthritis (OA) physio-pathological process. One therapeutic option in the following years could focus on the intra-articular space to limit (1) the side effects, (2) the drug interaction, and (3) to increase therapeutic efficacy. For this, the development of
Laboratory Analysis of Returned Carbonaceous Asteroid Samples – LARCAS
The mineral and isotopic composition, and the 3D spatial distribution of asteroid constituents are key parameters to understand the physico-chemical processes operating in the protoplanetary disk and/or in the asteroidal parent bodies all along Solar System history. The sample return missions Hayabu
Studying the Anonymization of Publications in Social Sciences – ETAPSS
The project will study the forms and impact of confidentiality and anonymity preservation standards on the ways of writing research in social science journals in France. It will examine how various disciplinary communities manage a notorious contradictory injunction, although little systematically s
Data Access, Transparency of Algorithms and (data subject) Rights – DATARights
Online platforms play a growing role in the circulation of information and in the production of power asymetries in surveillance capitalism. Accessing the data that is necessary to study them is, however, no easy task, given that these platforms often function as closed black-boxes. Several recent s
Seeing the EpileptogenIc Zone through machine learning on strUctuRal, functional and clinical nEurological data – SEIZURE
Epilepsy is resistant to antiepileptic drugs for 30% of patients. For those patients, surgical resection of the brain epileptogenic zone (EZ) is the best option. No biomarker allows to perfectly detect the EZ and surgical outcome is not a trivial task. Recent progress in statistical image processing
Hybrid Eco Responsible Optimized European Solution – HEROES
Bridging the gap between HPC and IA/ML user communities and HPC Resources is key to unleash Europe’s innovation potential. A lot of effort is done to build the European technologies able to deliver centralised, petascale/exascale HPC & ML. It is equally important to make such resources easily and r
Towards human AI – VIVAH
The programme strategy of the University of Artois is to promote and conduct core research on explainable AI as well as quality interdisciplinary research on important issues in Social Sciences and Chemistry. Two application domains, Health and Retail, considered as priorities by Region Hauts-de-Fr
Investigating the role of claudins in gastrointestinal cancer using Artificial Intelligence – CLAUD-IA
Claudins (CLDNs) are cell surface proteins essential for maintaining cell polarity and barrier integrity. Evidence from patient samples and preclinical models shows that CLDNs are overexpressed in solid tumors, playing a key role in cancer development and metastasis, making them valuable therapeutic
