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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
university Basic understanding of remote sensing and Earth observation data Familiarity with Python or R and interest in working with cloud-computing environments Ability to work independently, with attention
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Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description as soon as possible | temporary until September 30, 2028 | full time
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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2038 - 03:14 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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particle physics, computer science or a related field Experience with large-scale data management using grid or cloud technologies Experience in one of the on-site experiment would be an asset Familiarity
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related to earth sciences for a master’s programme in Germany starting in 2024 (subject to programme resources). Who can apply? Applicants: have successfully completed generally a bachelor’s* degree/a
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MONAI framework. Working in a Linux environment, with experience of shell scripting, cluster, or cloud computing. Fluency in spoken and written German. We are looking forward to receiving your
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-on experience with Federated Learning frameworks. Hands-on experience with MONAI framework. Working in a Linux environment, with experience of shell scripting, cluster, or cloud computing. Fluency in spoken and