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Job description We are recruiting postdocs to contribute to research projects in the Mathematical Modelling of Infectious Diseases Unit, at Institut Pasteur in Paris. The candidates will be expected
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Offer description A post-doctoral position for 24 months is available immediately for an advanced scientist in data science and modeling at the Centre for Research and Innovation in Humans (CERIAH
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infection in mouse models and during virus transmission between the mosquito and the mammalian host. The ultimate goal is to identify host genes and mechanisms that drive variations in host-vector
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administrative staff. Every year, it welcomes almost 90 doctoral and post-doctoral students. Activities Develop and build a model of daily human mobility in an urban area described by a mobility network Develop a
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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
further GPU porting. The exploration of C++ programming models for performance portability, such as Kokkos or StarPU, will form a second part. A comparative study will evaluate the different implementations
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The candidate will be in charge of developing clonal patient-derived organoid (PDO) models from resections. The candidate will be in charge of developing clonal patient-derived organoid (PDO) models
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live in. Your role The CLAIM and ICR groups are seeking an outstanding postdoc to strengthen their research teams with expertise in Large Language Models, more precisely in Agentive Reasoning and LLM
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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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modelling of complex plasma processes, contributing significantly to fields such as fusion reactor design, material deposition technologies, and space propulsion systems. The project brings together a
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content near end-users. However, they still rely on a hierarchical and centralized network model. Peer-topeer systems like IPFS are the second class of candidates, but they lack robust guaranteesconcerning