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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | about 1 month ago
- 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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selection process for an indefinite employment contract within the framework of a Line of Research R&D line: Parallel software for solving eigenvalue problems https://www.upv.es/entidades/SRH/conypi/A1271853
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to enable quantitative, high-resolution, time-lapse monitoring of soil properties and will be implemented using high-performance parallel computing. This PhD position offers the opportunity to work at the
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, including parallelization, traceability, reporting and workflow orchestration through Nextflow. Collaborate with data/AI engineers, computational biologists, and experimental partners in both academia and
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and medicine. The key objective is to support efforts to advance biomedical research using computational methods. For more details, please view https://www.ntu.edu.sg/medicine/research/research
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2 Apr 2026 Job Information Organisation/Company South East Technological University Research Field Computer science Engineering Mathematics Researcher Profile First Stage Researcher (R1) Positions
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Programme? Not funded by a EU programme Reference Number PEPR-DIADEM Is the Job related to staff position within a Research Infrastructure? No Offer Description The present PhD proposal is part of the project
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students in occupational/technical programs and university-parallel/college transfer programs. Respond to information technology work requests primarily involving routine user assistance and support for
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adapting large-scale codes developed for parallel computing. Record of excellence in professional achievement, as evidenced by a strong publication record. Demonstrated ability to carry out independent
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measurements, and simulation results Integrate data engineering workflows with HPC-based simulation environments Optimize and parallelize software solutions for execution on one of the world’s most powerful and