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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
scalability on high-performance computing (HPC) platforms. The main assignment will be to investigate how knowledge about the structure and local interactions of combinatorial optimization problems can be
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design and synthesis, structure–activity relationship studies, and optimization of lead compounds for biological activity and drug-like properties. Outstanding U of A benefits include health, dental
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to develop, optimize and apply advanced mass spectrometry approaches for the structural and molecular characterization of ARDCs, and to analyze and interpret the resulting data. - Develop and optimize mass
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postdoctoral position focused on the development of a novel vertex detector concept for FCC-ee. The successful candidate will contribute to detector prototype testing, detector simulation and optimization, and
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
-adaptive systems. We focus particularly on two properties: self-healing and self-optimization. With self-healing, we aim to study and adapt data mining and machine learning solutions to the design and
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at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical engineering parts. This position offers a unique opportunity to drive
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of studying and optimizing the microstructural and mechanical properties of granular materials bonded by a solidified foam, within the framework of the ANR project BONDINGFOAM. This mission is structured around
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optimization models. Investigate how tabular foundation models can support energy-system modelling and optimization, including applications such as prediction, surrogate modelling, uncertainty quantification
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structure can be controlled to develop multifunctional surfaces for applications in photonics and related technologies. Research activities may include the development of nanostructured surfaces with tailored