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AI Research Post Doctoral Fellow Posting Number req37416 Employment Type Faculty Faculty Type Research Hiring Department Ctr Adv Research Computing Gen Adm (663B) Academic Location Vice President for
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focuses on understanding boundary layer cloud processes through Large Eddy Simulation (LES). A novel aspect is to represent cloud microphysics using a Lagrangian technique implemented in the turbulence
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processing, semantic search, and knowledge graph technologies. 2. Design, implement, optimize, and maintain secure, scalable, and high-performance AI solutions across cloud and hybrid computing environments
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areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level: 100%. Commencement
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Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. The successful candidate will join the Entrepreneurship
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, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role The SnT is looking for a Postdoctoral
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DECIDE research team. DECIDE conducts cutting-edge research on Distributed and Embodied Computing in Dynamic Environments. The team works to realize a vision where humans and robots cooperate
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SD-26140- RESEARCH ENGINEER — GEOSPATIAL SOFTWARE, GEOAI AND DIGITAL TWINS FOR SUSTAINABLE TERRIT...
Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 2 months agocategories View less categories Discipline Applied Science , Computing , Earth Science Job Type Researcher Employment - Hours Full time Duration Fixed term Qualification Masters Sector Academia Apply on
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Discipline Computing Job Type Researcher Employment - Hours Full time Duration Permanent Qualification PhD Sector Industry Apply on website (This will open in a new window from which you will be
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Helmholtz Association of German Research Centres | Bremerhaven, Bremen | Germany | about 2 months ago
Experience with machine learning or AI methods applied to geosciences Experience with large-scale data analytics and cloud/HPC computing Experience with workflow automation and reproducible research