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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
to exascale architectures an initial 3D simulation code developed as part of previous work [1]. This work will initially focus on scaling up (distributed memory), optimizing CPU algorithms (vectorization) and
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of the auditory nerve [2] and brainstem to simulate neurograms and guide the development of diagnostic tools based on Auditory Brainstem Responses (ABRs). Despite normal audiograms, individuals with ANSD often
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found on hpc.uni.lu . The activities include classical HPC applications such as simulation and modeling, but also artificial intelligence and machine learning, bridging computational science, with data
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—from cold interstellar ices to the early stages of planetary systems. The successful candidate will contribute to experimental studies simulating interstellar ice environments under controlled
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aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimising PIC algorithms for modern
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until 31/12/2025 Workload 1 607 hours per annum Mission development of predictive models for numerical simulation of material processing Principal activities Development of numerical tools for simulation
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: Curriculum Vitae List of publications and manuscripts in preparation (if applicable) Copy of PhD degree certificate, if available Cover letter including: Self-assessment of your academic achievements (e.g. top
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the laboratory: –Lefebvre A. et al. Neuroanatomical Diversity of Corpus Callosum and Brain Volume in Autism: Meta-analysis, Analysis of the Autism Brain Imaging Data Exchange Project, and Simulation. Biol
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electronic structure on the ferroelectric properties. The chosen materials will be optimized by successive simulation, processing, and characterization iterations and integrated into scaled arrays to provide
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. Measuring and predicting the effect of copy number variants on general intelligence in community-based samples. JAMA Psychiatry 2018 75(5):447-457. Mercati O. et al. CNTN6 mutations are risk factors for