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learning, particularly in deep learning or related areas. No prior knowledge of cryptography is required. Expertise in optimization or efficient algorithm design will be considered an asset. Applications
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Navier-Stokes equations at a macroscopic level, the LB method considers the fluid at a kinetic level. Capturing the dynamics of collections of fluid particles distributed over a lattice is here preferred
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algorithms that approach these limits. The project uses neural networks to design receivers for the nonlinear optical fiber channel. The project is funded by an ERC Starting Grant from the European Research
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recognitions and multi-class neural network algorithms. We propose to apply this emerging method to study samples from Europe, South Africa, and East Asia dated between 1.8 Ma and 60 thousand years ago (ka
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opportunity to choose between two missions: • Mission 1: Improve new automated algorithmic schemes to quickly, efficiently and robustly detect and extract recorded geophysical signals related to earthquakes
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, to propose a project that falls within one of the current major axes of the team: "Algorithms to assist in the notation and composition of guitar tablatures" (TABASCO project - TABlature ASsisted COmposition
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8 Oct 2025 Job Information Organisation/Company Universite de Montpellier Department Human Resources Research Field Mathematics Mathematics » Algorithms Mathematics » Applied mathematics Researcher
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variational models and deep learning techniques. You will implement and validate reconstruction algorithms, ensuring their performance, robustness, and efficiency for clinical application. You will participate
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vision researchers to design algorithms specifically tailored for the extraction and analysis of these historical diagrams. EIDA considers these diagrams both as visual heritage and as tools
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algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a team • Proficiency in programming languages (e.g. Python, R, Fortran