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Field
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. Apply and upscale models to industry-relevant scenarios, deploying simulations on high-performance computing (HPC) infrastructure and integrating outcomes into commercial workflows. Collaborate and
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modelling, including two-phase flow in fractures, stochastic permeability analysis, and upscaling to fracture networks. Deploy large scale simulations using high-performance computing (HPC) and collaborate
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-performance computing (HPC) resources. Expert Mentorship: Be integrated into Simula’s dynamic, inclusive, and highly collaborative research community, where researchers at all levels work as colleagues. Career
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for PostDocs. Generous Resources: Dedicated funding for conferences, equipment, and international research visits. You will have full access to Simula's high-performance computing (HPC) resources. Expert
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tools for High-Performance Computing (HPC) applications. Qualifications/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial
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-performance computing (HPC) systems for large-scale data processing, parallelized workflows, and computationally intensive analyses. Demonstrated experience applying phylogenetic and phylodynamic methods
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particular using diffusion tensor methods) of human participants (Fellow 1 only) Experience conducting neuroimaging analyses on high performance computers (HPC), such as BlueBEAR or similar Cooperative nature
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: Experience in physical system modelling including finite element modelling Experience working with large codebases in open source software environments Proficient user of HPC environments including MPI
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming