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Pre-clinical research for diseases caused by IM dysfunction. – IMprove
Pre-clinical research on diseases caused by IM dysfunction.
Mitochondrial and protease dysfunction in progeroid Cockayne syndrome cells and during age-associated processes – CS_AGE
Understanding the molecular defects responsible for premature ageing diseases like Cockayne syndrome (CS), is critical to develop treatments, which are dramatically missing to date, and also elucidate physiological ageing. We identified an altered pathway that involves mitochondrial an metabolic dysfunction in cells from CS patients, and rescued these defects in these cells, by scavenging oxidative/nitrosative molecules, paving the path to therapeutic approaches for CS.
Microplastics in sediment and sediment cores – Sedi-PLAST
Le projet Sédi-PLAST propose de combiner une approche sédimentologique à l’analyse des teneurs en MP dans les sédiments de surface et dans la colonne sédimentaire. Il vise à analyser les relations entre les environnements de dépôt sédimentaire et la contamination en MP afin de développer en concertation avec les gestionnaires des milieux aquatiques, un nouvel outil de surveillance des risques liés aux microplastiques (MP).
Computation of Resonant Inelastic X-ray Scattering in the condensed phase across the whole periodic table – CompRIXS
This project aims to devise and apply innovative theoretical approaches to simulate Resonant Inelastic X-ray Scattering (RIXS) spectra, whereby we accurately take into account relativistic effects (especially spin-orbit coupling) while at the same time treating electron correlation, relaxation, and environment effects.
Multiple trajectories towards excited states – multicross
Multiple trajectories towards excited states
Intersystem crossing in fluorescent proteins as a novel mechanism for dynamic contrast in confocal fluorescence microscopy – dISCern
Intersystem crossing in fluorescent proteins as a novel mechanism for dynamic contrast in confocal fluorescence microscopy
Data and Prior, Machine Learning and Control – DeLiCio
We propose to combine machine learning and control theory for sequential decision-making of multiple agents. The project proposes fundamental contributions: adding stability to the algorithms of reinforcement learning; data driven methods for robust control; hybrid ML / CT methods for multi-horizon control and planning; decentralized control. The methodological contributions of this fundamental IA project will be applied to the robust control of UAV fleets
Prescribing and modeling renovation works using Energy Efficiency Rating Scales - Socio-technical and economic analysis of a public policy instrument – PREMOCLASSE
In a context where the EPC (Energy Performance Certificate) plays an increasing role in guiding the renovation sector (prioritisation of buildings to be renovated, conditioning of aid, but also modelling of energy demand, and, in the future, enforceability), PREMOCLASSE provides interdisciplinary knowledge (sociology, economics, building techno-economics).
Ultrasensitive molecular magnetic resonance imaging to unmask intestinal inflammation – MAD-GUT
To develop a new contrast agent for molecular magnetic resonance imaging (MRI) that is able to detect inflammation in the intestinal mucosa in a non-invasive manner
Biomechanical cost quantification for wheelchair accessible cities – CapaCITIES
Locomotion with a manual wheelchair submits the upper-limbs of the manual wheelchair users to an important stress, which varies according to the environment. To assist users in selecting the paths that preserve their upper limbs, a cost reflecting the physical demand of the successive situations along the possible paths must be attributed et place in front of the manual wheelchair users physical capacities.