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of the bioinformatics laboratory at the college of computing (bioinformatics.um6p.ma). The project aims to build a simulator for the response of mutations at different levels. The candidate will be
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processes and understand their impact on survival, infection and resistance. We have developed approaches to study multiple bacterial pathogens in parallel, with a primary focus on Klebsiella pneumoniae and
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professionals across clinical operations, scientific coordination, facilities, and research management. In parallel, the FPM professionals provide management and administrative support, ensuring a strong
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contributes to a world where differences between children and young people are understood and accepted, strengths are capitalised on, and mental health difficulties are prevented or addressed early in life. We
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of dense laser plasmas and intense laser interactions with matter using particle-in-cell (PIC), hydrodynamic, and/or Fokker-Planck open and proprietary simulation packages. Investigate and develop different
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algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML
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(HPC/parallel environments), and open/reproducible release of data and analysis scripts under FAIR principles. Dissemination through high-impact journal publications and conference presentations in solar
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, with a particular focus on nutrient and metabolite uptake by developing embryos. In parallel, the project will apply our previously developed low-input detection methods to characterize intracellular
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algorithms will be assessed for neurodegeneration mapping in Alzheimer’s disease brain organoids. In parallel, the technology and algorithms will be applied to fish health research, supporting studies on ulcer
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and intense laser interactions with matter using particle-in-cell (PIC), hydrodynamic, and/or Fokker-Planck open and proprietary simulation packages. Investigate and develop different physical