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- ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
- ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI"
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parallel execution, targeting emerging AI workloads in both high-performance and embedded contexts... Where to apply Website https://lavoraconnoi.unitn.it/incarichi-post-doc/dipartimento-disi-avviso-di-se
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cavity chemistry. This effort is intended to be innovative, nationally competitive, and aligned with emerging federal priorities in quantum science and technology. In parallel, the incumbent will serve as
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, deliverables, and quality. Assists with risk mitigation through contingency planning, parallel operations, and structured testing. Coordinates organizational readiness activities: training programs, process
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environments. * Experience with parallel programming models, such as MPI, OpenMP, CUDA, or related technologies. * Experience compiling, porting, debugging, and optimizing scientific or engineering applications
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. The Professor is required to deliver at least one public lecture and to undertake an academic programme agreed in advance with the host department or faculty. In parallel with holding the Chair, the Professor
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). Experience with shared and distributed memory parallel programming models such as OpenMP and MPI. Experience with one more GPU or performance portability programming language (e.g., CUDA, HIP, Kokkos, SYCL
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given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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scaled up to handle large numbers of samples in massively parallel, low-cost analysis systems. Before such systems can be realized, the electromagnetic response of biochemical samples must be understood in
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and place-based linkage. ● Experience working with large, complex datasets that may require novel data structures, indexing strategies, or parallelized workflows. ● Ability to work independently with