Search for a funded project
Phonological Networks in Language Production and Comprehension. – PhoNet
In a joint effort of French and German scientists specializing, respectively, in speech production and speech comprehension, this project will perform parallel production and comprehension experiments in French and German to improve our understanding of the brain mechanisms of language.
Real Analysis and Geometry – RAGE
Real Analysis and Geometry
Roles of cell adhesion and mechanics in cell and tissue polarization – POLCAM
Forward-backward polarization of single cells has been well described, but little is known about the coordinated polarization of cells within epithelial monolayers. Single cell polarization may emerge from a mechanosensitive transition of the actomyosin cytoskeleton. However, it was not clear how and to what extent this symmetry breaking is propagated in a monolayer of cells and the role played by cell-cell junctions.
Dataflow Algorithm aRchitecture co-design of SKA pipeline for Exascale RadioAstronomy – DARK-ERA
The exascale radio telescope Square Kilometre Array (SKA) [1] will require supercomputers with high technical demands. The Science Data Processor (SDP) pipeline in charge of producing the multidimen- sional images of the sky will have to execute in realtime a complex algorithm chain with data coming from telescopes at an incredible rate of several Tb/s and limited storage possibilities. The SDP will also have to be as green as possible with an energy budget of only 1 MWatt for 250 Petaflops.<br /><br />The SDP supercomputer will be based on a standard HPC system combined with FPGA or application-specific architectures like GPU or the manycore Kalray Massively Parallel Processor Array (MPPA). One crucial challenge is to assess the performance both in time and energy of new complex scientific dataflow algorithms on not-yet-existing complex computing infrastructures. It will be hardly possible without efficient co-design methods and rapid prototyping tools.
SOft MAtter dynamics with Dlaunay-based Neighbours Search – SOMA-DNS
The SOMA-DNS project aims at developing new simulation algorithms using GPUs (graphics card processors) for colloidal suspensions. The consortium of this project gathers two research teams from Limoges, XLIM and IrCer, and a Chilean team specialized in GPU computing.
Relationship to nature and gender equality. A contribution to critical theory from feminist practice and mobilisation in agroecology in Brazil – GENgiBRe
The GENgiBRe project analyses the construction of the relationship to nature from a gender, class and race perspective in two rural regions of Brazil that are subject to socio-environmental conflicts. It starts from the experience of women farmers in contact with the agroecological movement, which it situates in gender and other power relations,in socio-environmental conflicts and in the process of neoliberalisation of nature led by the current Brazilian government.
LOw-dimensional ferromagnetic units towards ValuablE Magneto-Electrics – LOVE-ME
We propose an original and thoughtful approach for designing magnetoelectric properties in inorganic compounds, dealing with low dimensional ferromagnetic units (0D blocks, 1D chains, 2D layers) and their alignment under field through metamagnetic transitions. Our candidates possess collinear or canted macrospins of high spin magnetic cations (M = Fe2+, Co2+, Mn2+), separated by non-magnetic and electrical insulating spacers or large cations building up the insulating properties.
Valorization of fibres from nettle grown on marginal lands in an agro-forestry cropping system – NETFIB
The NETFIB project (Valorisation of nettle fiber grown on marginal lands in an agro-forestry system) coordinated by the Chrono-Environment Laboratory of Bourgogne Franche-Comté aims to develop the production of nettle in agro-forestry system on marginalized land, to feed a sector in plain expansion, without accentuating the pressure on agricultural land.
Multiscale Sensing For Disease Monitoring In Vineyard Production – MERIAVINO
Meriavino project aims at helping winegrowers to access real-time information and diagnosis for agronomic decisions. The objective is to supervise daily processes using multi-sensing cameras, and Agriculture Internet of Things (AIoT) devices in order to interconnect the vineyard parcels, as well as to develop a non-invasive, eco-friendly and low-cost technology for vineyard monitoring, allowing high precision analysis.
