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aggregate formation [2, 3]. It is in this context that the proposed thesis topic falls. Very promising ligands, i.e. capable of removing copper from Cu-Aβ and stopping the associated ROS production, have
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mechanisms/strategies, integrated with federated learning; i.e., scalable solutions to detect and block these attacks. In particular, this will involve moving towards the interpretability and transparency
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to an intermediate form of energy (i.e., magnetic, mechanical, radiative, electrostatic …), in the aim of wirelessly transferring this energy through a transmission medium (i.e., air, metal, water …). On the receiver
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(Fe3+) using the two main siderophores produced by the bacteria itself (pyoverdine and pyochelin) at least 10 different strategies known as “hacking exogenous siderophores” (or exosiderophores, i.e
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motional quantum ground state, which requires to monitor the motion of the particle with the highest precision possible. Typically, such monitoring is performed using a coherent (i.e. classical) light
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their partners i.e. CHR Metz-Thionville, GeorgiaTech Institut and CHU Nancy. The project draws on the resources (in equipment and personnel) of the CRAN PhotoVivo platform and the IJL Optics-Lasers competence
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(PDEs), i.e. PDEs from one family with varying parameters including initial and boundary conditions, forcing functions, or coefficients. It is possible that different parameters values, give rise to very
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); or for their high preservation potential in extinct life (e.g., biomarkers): (2) older terrains such as fossiliferous Precambrian strata as they can preserve records of past habitability (i.e., biosignatures). Many