98 cloud "Computer Vision Center" "Computer Vision Center" Postdoctoral research jobs
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Field
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Identification of Objects in Massive, Multi-scale, and Temporal 3D Point Clouds Objectives: The MODAM3 project aims to develop new models and algorithms for the automatic localization, characterization, and
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Job description The project: Earth’s dominant cloud type per area covered is Stratocumulus. These low-level, shallow, horizontally extensive clouds cover one-fifth of the Earth’s surface. Changes in
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The laboratoire de Météorologie Dynamique is looking for a post-doc researcher to study the macrophysical and microphysical parameters that control the radiative properties of tropical convective clouds, and their
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the CERTAINTY project (Cloud-aERosol inTeractions & their impActs IN The earth sYstem), we are working to better understand the interactions between aerosols and clouds and their impact on the climate. This would
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31 Jul 2026 Job Information Organisation/Company Computer Vision Center Research Field Computer science » Other Researcher Profile Established Researcher (R3) Positions Postdoc Positions Application
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29 Jul 2026 Job Information Organisation/Company Computer Vision Center Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application
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Engineering at The Ohio State University conducts interdisciplinary research in scalable software systems, artificial intelligence and machine learning (AI/ML), edge-to-cloud computing platforms, digital
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platform that combines Building Information Modelling (BIM), Artificial Intelligence (AI), cloud computing, IoT technologies, and real-time data analytics. Working with an international consortium
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work in this area. In this role, you will have the opportunity to: Build the core decision platform at scale. Develop scalable, tested and documented local and cloud workflows for malaria peptide
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convective hazards. The model development will be aided by synthesizing observational data and high-resolution numerical simulations to gain new conceptual insights on cloud life cycles. Potential