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of an effective system for rapid and robust storage and optimised processing of large quantities of collected data. 2. Development and improvement of algorithms for processing acquired geophysical data in order to
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Inria, the French national research institute for the digital sciences | Lyon, Rhone Alpes | France | 2 days ago
mathematical components accessible to users that are not specialized in formal proofs (e.g. undergraduate students, math/CS teachers or other peers) via the development of convenient interfaces, needing
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Eligibility criteria . PhD in atmospheric sciences • Knowledge of cloud physics • Experience in algorithm development and satellite remote sensing • Good written and spoken English • Ability to work
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to monitor the evolution of the planet at various scales and develop models to tackle societal challenges on biodiversity, climate change, food security, water resources, etc. The laboratory also contributes
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microcontrollers (e.g., Arduino). Analysis and processing of biological signals Development of algorithms in Python for real-time signal processing. Extraction and analysis of multi-signal cross-frequency coupling
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30 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile
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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
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 24 days ago
) algorithms for the identification of unknown BRP model parameters from time-course, single-cell (growth and gene expression) measurements over cell lineages. Develop methods for estimation of unobserved
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Institut of Mathematics of Marseille | Marseille, Provence Alpes Cote d Azur | France | about 2 months ago
nonstationary models and algorithms for analyzing various biological signals. The project will focus mainly on developing innovative models for biomedical signals with irregular cyclicity and exploring potential
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for: • Contributing to various tasks related to the modeling of lipids and membrane proteins involved in lipid droplet biogenesis. • Developing and implementing the POP-MD algorithm in the OpenMM software