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modeling and optimization methods for the management of multi-energy platforms integrating electricity and heat systems within. The research aims at characterizing and valorizing the flexibility potential
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of inorganic, organic, and energy resources. The doctoral candidate will join a team internationally recognized for its work on advanced electrochemical processes, innovative electrochemical reactors, treated
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
analysis of mechanisms, mechatronic design, and robot architecture optimization. This PhD is part of a collaborative research project with the Gepetto team at LAAS-CNRS (Toulouse). The PhD candidate will
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applications. It will be carried out within the Nuclear Structure and Energy (SEN) group at SUBATECH using the newly developed, hybrid Total Absorption Spectrometer (TAS) called STARS. TAGS is the preferred
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are of paramount importance in a variety fields such as energy, analytical chemistry, catalysis,.. Several approaches for covalently bonding organic moieties to surfaces exist, often relying on local generation
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optimized physical and mechanical properties, in particular for energy-related (e.g., solar cell), aerospace and nuclear applications, where materials are exposed to ion irradiation. Although the effects
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
to address these challenges is DNA-based data storage, which offers several advantages, including extremely high data density, long-term retention, and low energy consumption [2]. From a density perspective
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of biophysics, non-equilibrium statistical physics, and cancer biology. Its objective is to understand how stochastic fluctuations and cell-cell interactions combine to drive the spontaneous emergence
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multicolor fluorescence labeling of mouse neurons according to their cell lineages. The team is currently pursuing the improvement of the technology and exploring novel applications. Objectives: A first
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capable of automatically selecting the simulation strategy best suited to a given prediction objective, while optimizing the trade-off between accuracy and computational cost. The work will build on multi