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MIcrostructured Hydrogel supported on MEmbrane BIOreacTor for Intensified bioproduCtion – MIMEBIOTIC
Biotechnological processes are a profitable and economically viable alternative for a wide range of industrial productions, provided that the production criteria are maximized (i.e. productivity, yield, final titre). One of the strategies for intensifying bio-production is to obtain very high conc
MEchanism for LOw thermal conDuctivitY – MELODY
How low the thermal conductivity of a solid can be ? This question is of fundamental and technological interest. Designing materials with low thermal conductivity has become a crucial technological challenge for thermoelectric devices or thermal barrier applications. The MELODY project aims at solvi
MAgnon Excitation in the STRong Out-of-equilibrium regime – MAESTRO
The consortium has previously established the relevance of hybrid insulating ferromagnetic (YIG) / normal metal (Pt) systems in this context. It also uncovered issues related to the non-linear effects that limit the amplitude of the spin waves on which the operation of these devices is based. To ove
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-
Localization of the Atomic Kicked Rotor: Interplay between Disorder and Interaction – LAKRIDI
This projects aims at studying transport and localization properties in complex quantum systems. More precisely, we want to study how the interplay of disorder and interaction affects the transport properties of waves. We especially want to study how interactions between particles affect Anderson lo
Lipid transport to mitochondria and contact sites formation during phosphate starvation in plants. – MiCoSLiT
Plants are organisms that are permanently subjected to numerous stresses such as high temperatures or nutrient deficiencies. Phosphate is an essential microelement for plant development, the absence of which has a considerable negative impact on agricultural yields. It is therefore important to unde
Linking mathematical programming formalism with combinatorial optimization formalism, through the study of generic scheduling and network synthesis problems – LMCO
This project is a three year project which puts together people who used to respectively work on Discrete Mathematics, Combinatorial Optimization, Mathematical Programming, and embedded systems. Those people are located in three laboratories: - LIP6 Laboratory in PARIS VI, team animated by Philippe
Leveraging Insurance for services providers cohabitation over Cognitive Radio Networks – LICoRNe
Efficient spectrum management and optimization are becoming the cornerstones for the deployment of our future mobile communications systems and, in this way, severely impact the incredible deployment of various mobile wireless technologies that would enable the instantiation of the 4G vision. As a d
Learning Boltzmann Distributions for Combinatorial Optimization – ComBo
This project is at the interface of statistical learning (mainly deep learning) and combinatorial optimization (mainly stochastic and evolutionary). Its originality is to propose a coupling between the two types of approaches, based on 3 modules: i/ the search for a continuous embedding of the comb
Lasers UV organiques – LUVORGAN
1. Scientific context and objective Many applications (data storage, sensing) demand laser sources emitting in the blue and near UV part of the spectrum, which are compact, easy to use and low-cost. In this context, organic materials are good candidates for the realization of this kind of sources, t
