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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? We are seeking a highly motivated
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existing codes Generate workflows or scripts to automate tasks on cloud computers Manage code with git/GitHub What You Will Bring to the Table PhD or BS/MS with equivalent industrial experience in Mechanical
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Palaiseau, le de France | France | 26 days ago
appelé Cloud-Resolving Model (CRM). Il s'agit d'un modèle atmosphérique non hydrostatique simulant un domaine local relativement petit (quelques centaines de kilomètres, comparé au rayon de Jupiter de 70
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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13 Feb 2026 Job Information Organisation/Company Technological University Dublin Department Human Resources Research Field Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions
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Thursdays; remote options available Mondays and Fridays. Travel: While primarily based in Duluth, occasional travel to the Twin Cities or St. Cloud campuses may be required. Virtual support is provided
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the fields of visual processing and spatial navigation. Applicants should have completed a PhD in Computer Science and have extensive experience in distributed systems and event-driven architectures. We
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Assessment (TAE40116) or a PhD related to ICT, Cybersecurity, and Networking. The positions are expected to begin in the second semester of 2026. About the role As a VE Teacher in ICT – Cybersecurity and
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
deep learning (x/f/d/m) Background With the project Deepcloud, we will leverage the machine-learning revolution to understand clouds and their role in the climate system. We aim to train a deep learning