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MAchine learning for environmental TIme Series – MATS
MATS project introduces novel approaches in machine learning for time series, with a specific focus on methods that scale and that can operate even when labelled data is scarce. More specifically, the MATS project aims at introducing new paradigms for large scale time series classification, spatio-
Assembly and operation mechanisms of flagellar apparatus of marine magnetotactic bacteria – MagneticFlAp
Our current knowledge about bacterial propeller mainly stems from the study of enterobacteria. Little is known about that of magnetic bacteria: how are these flagellar propellers constructed and how do they operate in response to magnetic stimuli? We investigate the flagellar apparatus of marine mag
Surfaces and interfaces of novel perovskites and perovskitoids. – SURFIN
SURFaces and Interfaces of Novel perovskites and perovskitoids (SURFIN) aims at setting up an ab initio study of the structural and electronic properties of surfaces and interfaces, which are known to be critical for the performance of photo-active materials and the charge carrier transport across o
Membrane for prOtein Separation with designed Architecture of bioInterface at nanosCale – MOSAIC-3D
This project involves a collaboration between the R&D Center for Membrane Technology in Taiwan and the Laboratoire de Génie Chimique in Toulouse (France). It aims at designing a new process for the ultra purification of platelet-derived growth factor (PDGF), a very promising drug which has to be ext
Predictive Maintenance of transportation systems under incomplete and imprecise data – MAPSYD
The original contributions of the MAPSYD project can be broken down according to the themes below: - Dependability : The first innovative element is the integration of the dependability in the process of predictive identification of system failures. - Predictive modeling in the presence of unc
human inspired autonomous navigation in crowds – Hianic
The HIANIC cybercar will analyze its environment by detecting people, evaluating crowd flows, recognizing typical scenarios. It will infer the reaction of the passengers in order to navigate in a way that makes them feel comfortable. Several navigation strategies will collaborate to adapt the moveme
Triggering selective apoptosis of multidrug resistant cancer cells overexpressing ABC transporters – Achilles
The aim is to identify compounds targeting multidrug-resistant cancer cells overexpressing ABC transporters for triggering their apoptosis. These compounds, by difference to classical inhibitors of drug-efflux pumps, produce collateral effects by targeting critical components of the pathophysiologic
Hereditary classes of graphs – HEREDIA
Hereditary properties of graphs provide a general perspective to study graph properties. Several important general theorems were obtained, and the approach offers an elegant way of unifying notions and proof techniques. Further, hereditary classes of graphs play a central role in graph theory. Besid
Mitochondrial transport mechanism at the molecular level – MIT-2M
The first structure of AAC was solved in 2003 by one of the partners of the project. It is still the only atomic resolution structure of such a carrier. It shed the first light on mitochondrial carriers by showing the overall fold and the mechanism of inhibition by atractylosides, well-known poisons
High resolution structural studies to understand the chemomechanical transduction mechanism of myosin motors and the critical interactions that regulate their cellular location. – How myosin produces force
The cell comprises several molecular motors that are essential not only for cell division and migration but also for polarized transport, the maintenance of ultrastructures of the cell, or for the anchorage of vesicules or organelles within the cell. The project will focus on the study of the myos
