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- ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | 26 days ago
Description Analysis and development of methodologies to accelerate the computation of numerical optimization through parallelization and the use of GPUs. Where to apply Website http://www.unibo.it Requirements
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Future. Discover. Together. The introduction of AI applications places high demands on optical connections in data centers. In addition to the approach of fewer parallel channels with very high data
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similar work to the athletic department). Duties and Responsibilities Club Sport (Primary): Serve as head coach for the designated club sport under the mentorship of the varsity head coach (parallel sports
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department). Duties and Responsibilities Club Sport (Primary): Serve as head coach for the designated club sport under the mentorship of the varsity head coach (parallel sports) and Director of Club Sports
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similar work to the athletic department). Duties and Responsibilities Club Sport (Primary): Serve as head coach for the designated club sport under the mentorship of the varsity head coach (parallel sports
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) Established Researcher (R3) Application Deadline 6 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 funded
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-based systems to large-scale GPU systems, enabling users to effectively leverage next-generation architectures. Initiate and conduct research into new high performance and parallel computing applications
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similar work to the athletic department). Duties and Responsibilities Club Sport (Primary): Serve as head coach for the designated club sport under the mentorship of the varsity head coach (parallel sports
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, particularly in sub‑Saharan Africa. Current projects, including SMART Brain, ZIPS‑2, and the Research Training in Infection, Nutrition and Neurodevelopment program, reflect a commitment to multidisciplinary
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Python and C/C++. Expertise in ensemble learning (e.g., Random Forests, Gradient Boosting, bagging/stacking frameworks). Hands-on experience with parallel or GPU-based computing (CUDA, OpenCL