160 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" research jobs in Ireland
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colleague is valued and empowered to thrive. Our dedication to these values ensures that we foster a culture of mutual respect, open collaboration, continuous learning, and innovative thinking. Join us at
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. Proficiency in English is required. Must be eligible to relocate to Ireland for the fellowship. More details at: https://horizoneurope.ie/sustain-fit Where to apply E-mail pouyan.ghabezi@universityofgalway.ie
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position is available to work in the area of Digital Twins for optical networks, making use of intelligent AI-driven control planes. The applicants should have a solid theoretical background on machine
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such as Wildfires. Platforms include Satellite, Aircraft, Drones, Mobile Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning and Geo-AI workflows underpin an intuitive Common
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Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning and Geo-AI workflows underpin an intuitive Common Operational Picture to transform real-time data streams into a suite of
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sensing across telecommunications networks to deliver the performance level required by the multiple sensing applications. The applicants should have a solid theoretical background on machine learning
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closely with their supervisors and will produce a PhD based on four papers of a publishable standard. PhD students also acquire teaching experience by providing teaching support in our undergraduate
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of innovative medical devices enabled by its featured technologies and machines in high precision manufacturing and metrology. The Centre brings together a multi-disciplinary team of over 20 PhD and Post-doc
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schools. PhD students are expected to collaborate closely with their supervisors and will produce a PhD based on four papers of a publishable standard. PhD students also acquire teaching experience by
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Tyndall National Institute. The role-holder will be familiar with co-design development methods, guided inquiry learning, evaluation research and stakeholder engagement. The programme of work will require