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. Proficiency in utilizing and trouble-shooting issues with computer applications and online platforms (i.e. MS Office, Zoom, shared cloud storage spaces, databases, Handshake etc.). DESIRED QUALIFICATIONS
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. Duties Within the Data Science Section, you will be responsible for: supporting the definition and implementation of the architecture for a hybrid-cloud science platform (expanding ESA Datalabs - https
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research and development agenda for computing facilities, advancing the transition from traditional HTC architectures to modern cloud-native systems, federated operational models, and AI-assisted monitoring
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Developer – Data Analytics with CASS Software Development Group position for the School of Electrical Engineering and Computer Science at Oregon State University (OSU). Data analysis is a vital skill for all
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
distributed cloud storage systems and cloud computing services. · Experience in HPC (including heterogeneous architectures). · Strong interpersonal and communication skills and the ability
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qualified talents. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network
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expert guidance, support, and drive continuous improvement. The University is currently transitioning its Finance system to the Cloud and progressing an ambitious programme of systems and process
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. ETRO, the Department of Electronics and Informatics (http://www.etrovub.be/) of the Vrije Universiteit Brussel (VUB), performs fundamental and applied research in signal processing, AI, computer vision
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Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines