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Field
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-learning architectures for sequential data (e.g., Transformers, graph neural networks, state-space models). Experience with OpenCV, GPU-accelerated inference, Docker, and modern software engineering
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and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in sophisticated
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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
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tissue architecture. This would allow the same living cells or tissues to be measured and manipulated longitudinally, replacing destructive endpoint workflows with time-resolved experiments and opening a
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on leveraging modern heterogeneous computing architectures to enable large-scale, high-fidelity reacting-flow simulations. The models developed at the cell level will subsequently be coupled to module-, pack
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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design and feedstocks, including software architecture and database, for eventual use as a new application. Lead the literature review on thermochemical conversion, biomass pyrolysis, coupled CCUS/PtX
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materials. Materials for aerospace or space applications. Knowledge of experimental data analysis and scientific programming/software would also be considered an asset. Specific Requirements Key
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23 Jun 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Architecture Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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communications, multimodal UWB RF signal data analysis, and wireless sensing network architecture design and optimisation. It is envisaged that the candidates will be located at University College Cork’s campus. A