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Field
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components. Examples include supporting small units operating in difficult edge environments that are often disconnected from enterprise computing infrastructure, such as tactical autonomy, first
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and cloud computing environments. Solid background in statistical modeling and inference Excellent written and oral communication skills, with a track record of peer-reviewed publications commensurate
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developing code with a team through collaborative version control ● Experience working with large datasets and cloud computing environments. ● Solid background in statistical modeling and inference
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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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ideal candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and
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Observatory and the Pacific Northwest Seismic Network. The person in this position will have access to many resources including: Access to petascale computing and cloud-based infrastructure. A state-of-the-art
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pipelines for structural, functional, and diffusion MRI, as well as multimodal data (e.g., clinical, behavioral, multi-omics). Guide decisions around computing infrastructure (local HPC, cloud platforms
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collaboratively in an interdisciplinary team. Good to have Experience in smart contract development, preferably in Solidity. Familiarity with cloud computing and shell script. Knowledge of biomedical
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Exoplanet Clouds Employer Max-Planck-Institut für Meteorologie Location Hamburg (DE) Salary TVöD E14 Closing date 23 Aug 2026 View more categories View less categories Discipline Computing
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challenges facing the nation. We invite applications for a Principal Engineer for Geospatial Computing Infrastructure. This dynamic and visionary leader will launch and build a next-generation