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Field
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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure
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) Positions PhD Positions Application Deadline 3 Apr 2026 - 12:00 (Europe/Paris) Country France Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Contexte général et problématique L'Internet quantique vise à
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Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2/2026/BT Is the Job related to staff position within a Research Infrastructure? No
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Do you want to help develop the next generation of safe and intelligent machines? We are now looking for a PhD student in semantic and goal-oriented communications with focus on cloud-assisted
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Position Title: Senior Data Scientist for Scientific AI - Ames National Laboratory Job Group: Professional & Scientific Required Minimum Qualifications: PhD and 8 years of related experience
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Temporary Online Course Developer – RITM 105 Enterprise Cloud Architecture & Scalable Systems Design
pathways. Strong writing and editing skills to produce cohesive, learner-centered experiences. Preferred Experience: Doctorate (PhD or DBA) in Computer Science, Information Systems, Cloud Computing, Systems
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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 The candidate will collaborate with LUX members at the CNRS-Observatoire de
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Familiarity with cloud computing environments and high-performance computing clusters Additional Information: Location: Biomedical Research Tower (0112) Position Type: Regular Scheduled Hours: 40 Shift: First
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battery data. Develop scalable, secure, and production-grade software systems supporting industrial deployments. Integrate embedded BMS firmware, edge computing devices, and cloud analytics pipelines