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development from the analytical and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine learning
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Proficiency with HPC and Cloud Computing environments, including distributed training (e.g. torchrun, slurm, deepspeed, etc.) Excellent communication and teamwork skills PREFERRED QUALIFICATIONS: Familiarity
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description L'explosion d'une supernova (SN) marque le début d'une incroyable séquence
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Posting Summary Logo Posting Number STA00988PO25 Job Family Information Technology Job Function Systems Programming USC Market Title Systems Programmer Link to USC Market Title https
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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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to campus high‑performance computing (HPC) services or cloud-hosted services. The position also contributes to information security, documentation, training, and cross‑team coordination. Apply By Date 1/26
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This position requires a Bachelor’s degree from an accredited college or university in computer science, management information systems, or closely related field and two (2) years of professional IT experience
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13 Feb 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Technology » Telecommunications technology Researcher Profile First Stage
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cloud/on-prem platforms using tools such as Mulesoft, Jitterbit, or equivalent. Develop pipelines, ETL/ELT processes, and API-based data flows across internal and external systems. Conduct data analysis
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Previous supervisory experience preferred. Prior Security experience within a university setting preferred. Prior knowledge of departmental policies and procedures. Experience with cloud-based software