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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d) Your tasks: Support in processing satellite and UAV remote sensing data on cloud platforms Adaptation and optimization
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Technology at Lund University, The Faculty of Engineering, is unique in covering the entire technology stack — from wireless hardware and radio systems to distributed cloud platforms and applications. This broad
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workflows using SQL, Python, and related tools. Use cloud-based data tools (e.g., OCI, Azure) as needed for data processing and analysis. Ensure compliance with data governance standards and maintain metadata
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conversations with AI leaders from other cancer centers and with AI/cloud vendors (e.g., Microsoft, Amazon, Google Cloud, Databricks, NVIDIA). KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: Expertise in AI, data
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. The SA-I will be responsible for maintaining and documenting computing and data systems using commercial cloud computing technologies including Docker images and Jupyter hubs and evolving these systems in
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European Collaborative Cloud for Cultural Heritage – Innovative tools for the study, conservation and restoration of heritage objects, GA number: 101233413), funded under Innovation Actions, is seeking
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these resources through a cloud-native Kubernetes environment integrating large-scale CPU and GPU resources, Ceph object storage, BinderHub, Coffea-Casa, Dask, and ServiceX. This platform supports more than 500
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. Cloud State University can be found at: http://www.stcloudstate.eduEmployment for this position is covered by the collective bargaining agreement for the IFO which can be found here:https
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bargaining agreement. Application Deadline: Nov 20, 2025 (9:00 PM) Apply online at: https://careers.pageuppeople.com/873/fl/en-us/job/553037/cloud-infrastructure-solutions-architect-systems-administrator-iii
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appointment request systems, PeopleSoft, and SciQuest, Oracle Cloud-based applications. Special Conditions: Lifting up to 25 lbs. Travel to all RU-NB campuses. Posting Number: 25ST2657 Create a Job Match for