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Simulation” (Reference: PID2024-157499OB-C31). This project focuses on the development of advanced computational models and optimization techniques for improving the performance of cochlear implants. It
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process techniques for the development of ion channel simulation schemes. Design, program and maintain the code necessary for these simulation models. Run numerical simulations. Provide support for
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large-scale numerical simulations will generate rich datasets describing the relationship between microstructure, deformation mechanisms, and mechanical response. While physics-based simulations involving
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19 Mar 2026 Job Information Organisation/Company Université de Toulouse Research Field Physics » Computational physics Researcher Profile Established Researcher (R3) Positions Postdoc Positions
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Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description Deadline for applications: 26/04/2026 Application process open * The Cyprus
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Posting Summary Logo Posting Number FAC00042PO26 Advertised Title Open Rank, Tenure Track Simulation Coordinator Campus Beaufort College/Division USC Beaufort College/Division Level Department BFT
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learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with, enhance
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to the scientific and technological development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation
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multiple fields, including mathematics, physics, artificial intelligence (AI), bioinformatics, and biological sciences. Researchers work closely with experimental biologists to ensure that computational
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 10 days ago
leverage machine learning techniques to bypass IO bottlenecks in the context of physics simulation on high-performance computing (HPC) clusters. This work is thus placed in a broader ``Machine Learning for