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, including parallel file systems. Uses of tools, scripts or programming, the automation of routine tasks are required to reduce manual workload, improve response time and to ensure system reliability. Creates
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Université Paris-Saclay GS Life Sciences and Health | Saclay, le de France | France | about 1 month ago
the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description La variabilité d'un essai à l'autre est
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, chunking, parallelization; Dask/Spark a plus). Experience using or building agentic/LLM-enabled workflows for data discovery, extraction, and normalization, with attention to provenance, reproducibility, and
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State University of New York University at Albany | Albany, New York | United States | about 2 hours ago
vibration isolation). In parallel to the benefits of quantum computing, artificial intelligence and neuromorphic computing seek to emulate the massively parallel, highly efficient computing capacity
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algorithms, models, and frameworks. Proficiency in programming languages commonly used in bioinformatics and AI research (e.g., Python, TensorFlow, PyTorch). Record of publications in top-tier conferences
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posts are designed for career development, and the successful candidate will undertake a PhD in parallel with their teaching and research support.You will be part of a large, vibrant, highly collaborative
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-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The world
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) Established Researcher (R3) Application Deadline 14 May 2026 - 22:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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in “Sustainable Metal Recovery—Hydrometallurgy & Circular Economy” within the framework of Doctoral Research School Program—BioGeoMetals, funded by the Swedish Research Council. Subject description
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performance tuning and benchmarking tools for HPC environments (e.g., Ganglia, Grafana, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high-performance interconnects