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towards sustainable smart homes. Thus, in the FACTO project, we propose to investigate Wi-Fi only based solutions. In this context, the role of the recruited person will be to model and simulate the energy
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and heavy precipitation events recorded in recent years and the model's ability to simulate them. A particular focus will be put on the relationship between these events and the teleconnections induced
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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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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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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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using classical molecular dynamics. The work will therefore involve defining a model and then carrying out all-atom simulations to understand and predict the properties of the confined solution. We will
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, itself part of the LIGO-Virgo-KAGRA consortium, has established a recognized expertise in the theoretical modeling of ultra-dense stellar matter and the development of advanced statistical methods
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the necessary data for simulations (both geographical and legal), - Co-developing (narrative) scenarios, - Conducting simulations based on an existing model or improving it (FORESCEM), - Assessing the impacts
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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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Engineering, or a related field. Experience & Expertise: Sensor Development & Characterization: Ability to develop and assess biosensors in multimodal conditions. Simulation & Numerical Modeling: Experience