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. Demonstrated experience performing research and technical work supporting DoD customers, including but not limited to AFRL 4. Research involving parallel distributed autonomy applications 5. Experience with
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Positions Country France Application Deadline 15 Oct 2025 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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renowned subject-relevant media are a strong plus. • Very good organizational skills are highly desirable. • Knowledge of parallel computing and use of GPUs are desirable. • Supervision and teaching
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the applicants, in the disciplinary area of the tender, preferably in the scientific areas of Computer Security or Parallel and Distributed Computing and its adequacy to the category of Assistant Professor
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IOCB Prague / Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences | Czech | about 1 month ago
for cryo-EM data processing and analysis at the local parallel computing cluster (400 CPU nodes, 87 GPU nodes, ~3 PBs of storage space and 1 PB of scratches). The successful candidate will be a key and
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Background in high-performance computing (HPC) or cloud environments Comfortable working in Linux/Unix environments Advantageous qualifications: Development of parallel applications Strong Python knowledge
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computing architecture and/or system software such as massively parallel computing, big data infrastructure, large-scale data system, or system software in general has been considered as important
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and software applications, including high performance computing architecture, big data storage architecture, operating systems, virtualization platforms, monitoring tools, power distribution and cooling
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Offer Starting Date 1 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2025-579 Is the Job related to staff position within a
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parallel processing, distributed computing, and resource management techniques for efficient resource utilization. Resource Allocation: Oversee the allocation of computational resources, ensuring scalability