802 English-speaking jobs in Occitania

Global Pet Owner Acquisition Content Lead will develop and implement content strategies, create engaging content, and oversee the content production pipeline for Royal Canin's digital platforms. The role requires 5+ years of experience in content marketing, digital marketing, or related fields with a focus on customer acquisition.

Lead the development, validation, and deployment of microbiological methods across Mars' internal and external laboratory network. Provide technical governance for Q&FS microbiology methods and support global technical reviews of microbiological audits.

DevOps & Integration Engineer needed to build, evolve, and maintain CI/CD infrastructure, manage container registries, enhance observability, and improve testing infrastructure.

Lead the development, validation, and deployment of microbiological methods across Mars' internal and external laboratory network. Provide technical governance for Q&FS microbiology methods and support global technical reviews of microbiological audits.

Senior Counsel will lead and support Cohere with all commercial technology matters, including structuring, drafting, negotiating, and reviewing complex commercial arrangements. This role will partner with go-to-market, product, compliance, and other stakeholders to shape and scale Cohere’s deployment of B2B enterprise AI solutions.

PhD position in agricultural AI data integration and management using Large Language Models (LLMs). The research will investigate approaches for combining and integrating heterogeneous agricultural data to support farming decisions.

Provides executional and analytical support to accelerate eCommerce performance across global markets. Collaborates cross-functionally to ensure best-in-class digital shelf execution, eJoint Business Plans, and Retail Media optimization. Supports the eCommerce and digital acceleration of Dexeryl / Dexeclear brands in select markets.

Regulatory CMC Development Expert needed for permanent position in Toulouse. Develop CMC regulatory strategy for assigned projects from early clinical trials to marketing applications. Collaborate with Pharmaceutical Development and Regulatory Development Teams.

Internship within a growing Financial Compliance department at Sterimed's Palalda site. Responsibilities include process reviews, subsidiary audits, and support for internal control actions. The role involves international collaboration and contributing to strengthening financial compliance practices.

This PhD research focuses on developing a new type of powder damper for mitigating micro-vibrations in satellites. The project will involve developing a dynamic model, characterizing the damper through vibration tests, and optimizing its design for maximum energy dissipation.

This research project analyzes lightning activity observed by the MTG-LI instrument, focusing on flash and storm scales. The study will compare lightning properties and cloud characteristics over Europe, Africa, and the Atlantic Ocean.

This PhD research aims to develop a method for characterizing aerosol plumes from satellite data by jointly inverting plume and surface reflectance properties. The project will explore the use of variational autoencoders (VAEs) to provide prior information on surface reflectance, overcoming limitations of existing methods that rely on simplifying assumptions and plume-free images.

This research position focuses on bridging the gap between two Earth observation models: TAMRF and RELEO. The work will extend the TAMRF architecture to a fully attention-based system using Perceiver-IO, supporting additional sensors and incorporating exogenous variables. The researcher will also contribute to RELEO's training strategy and architecture validation.

This PhD thesis focuses on developing advanced image processing methods for space coronagraphs, specifically addressing systematics limiting JWST and Roman observations. The student will explore analytical approaches using JWST wavefront measurements and existing coronagraphic images, and develop hybrid methods combining optical modeling with telemetry and archive data. The goal is to improve exoplanet detection limits by removing starlight contamination and instrumental artifacts.

This PhD research develops robust models of four-wheeled rovers for dynamic behavior, aiming to increase cruising speed to five meters per second. The research integrates structural characteristics, damping, control, and interface capabilities with emerging technologies.

This project aims to design a next-generation attitude simulator testbed capable of assessing attitude control algorithms under realistic conditions. The new design will eliminate disturbances not found in orbit and handle active dynamic imbalances at the payload level. The project will investigate the use of miniaturised Control Moment Gyroscopes (CMGs) for agile balancing algorithms, decoupling an agile balancing system from the payload's ADCS, and optimizing nonlinear multibody simulations for prototyping and validating control algorithms.

This PhD research focuses on understanding transient X-ray events from compact objects like black holes and neutron stars. The student will analyze data from the XMM-Newton observatory and other telescopes to study phenomena such as X-ray binaries, cataclysmic variables, and tidal disruption events. The goal is to improve our understanding of accretion processes, the growth of supermassive black holes, and the evolution of compact objects.

This PhD study investigates the impact of high-energy radiation on spacecraft components and characterizes electrostatic discharges on critical elements. The research involves experimental, instrumental, and numerical methods to identify and measure discharges under simulated space conditions.

This research explores the potential of silicon-based front-end circuits operating at 183 GHz and 325 GHz for miniaturized space radiometers. The study aims to address challenges such as lower electron mobility and substrate losses in silicon technologies compared to III-V semiconductors.

This research position focuses on improving the accuracy and capabilities of DTM_nrt, an AI-based thermosphere density forecast model. The successful candidate will investigate model limitations, explore data assimilation techniques, and develop enhancements to the model's performance.