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or scientific collaboration programmes will be an advantage. Completion of training and/or specialisation courses in Data Science, Artificial Intelligence, Cloud/DevOps architectures and software engineering will
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architectures and high-performance computing, as well as in the processing, analysis, and hybridization of heterogeneous data. Verifiable experience in hardware-software integration through the use
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HRER2026/357-222 Perfil R1 para desarrollo de algoritmos de IA / R1 profile to develop AI algorithms
architectures (microservices), container software knowledge (Docker, Kubernetes). Specific Requirements Se requerirá la participación activa en reuniones de consorcio, así como la redacción de entregables
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& Parallelization: MPI, OpenMP, scripting in Bash, SSH, managing Linux environments andpipelines large-scale simulation (GADGET-4). Development & Software: C++, Fortran, Python, version control with Git/GitHub and
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to the implementation and characterisation of AI/ML algorithms for 6G integrated sensing and communications systems, with particular emphasis on embedded platforms, digital processing architectures, efficient
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Architecture Development: Contribute to the specification and development of an Edge Computing architecture to enable edge AI and distributed learning. - Semantic Middleware Integration: Participate in
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and bottlenecks, as well as communication requirements. Develop and evaluate quantum computing hardware and software architectures that benefit from the idea of modular, interconnected and possibly
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, engineering or architecture degree; university degree of ≥ 300 ECTS corresponding to Level 3 (Master’s level); university degree plus a Master’s degree (≥ 300 ECTS); or a former diploma, technical engineering
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of semantic data management architectures to enable interoperable and trustworthy information exchange. Supporting data engineering activities for the integration, transformation, and semantic enrichment
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data processing using ImageJ/Fiji or equivalent software. Knowledge of amphiphilic block copolymer self-assembly is highly desirable. Experience in integrating molecular catalysts, nanoparticles