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- ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI"
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | 4 days ago
. This Research Fellow position focuses on deployment methodologies for heterogeneous RISC-V many-core systems using the Deeploy framework, addressing workload partitioning, parallel execution, and communication
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the Institute of Computer Engineering of the Faculty of Informatics at TU Wien, the position of a University Professor (all genders) for the specialist field of “Parallel Computing” with permanent (full-time
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distinct individuals with varied interests, needs, and abilities. Salary based on course contract. Campus varies. Minimum Qualifications University Parallel: Master’s degree in the discipline or subfield in
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with the nano-drones of the University’s SwarmLab The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT, headed by Prof. Grégoire Danoy. PCOG conducts
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available. Salary based on course contract. Minimum Qualifications University Parallel: Master’s degree in the discipline or subfield in which an individual is teaching, or Master’s degree and a minimum of 18
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-heavy domains. In addition to infrastructure leadership, the Chief Architect will drive research in parallel computing, distributed systems, performance engineering, and next-generation AI infrastructure
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Parallel: Master’s degree in the discipline or subfield in which an individual is teaching, or Master’s degree and a minimum of 18 graduate hours in the discipline or subfield in which an individual is
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or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data pipelines for high-throughput modeling over
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that combine parallel architectures (i.e., GPUs or accelerator boards, clusters) and numerical algorithms suited to such architectures with the goal of improving the speed of convergence and the stability
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Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a batch HPC environment with a