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to be able to move toward computational devices (HPC-simulations, and Synchrotron, MOKE and MFM experiments) based on nanomagnetic metamaterials. Intermediate the research focus is toward basic
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to be able to move toward computational devices (HPC-simulations, and Synchrotron, MOKE and MFM experiments) based on nanomagnetic metamaterials. Intermediate the research focus is toward basic
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convergence of high-performance computing (HPC) and AI, which is a subject that sees an increasing importance due to the widespread use of AI and in particular machine learning (ML). As today’s mainstream AI/ML
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events and in machine learning for the earth system is required Strong and demonstrated programming skills are required Prior experience with geospatial data analysis in Python, working on scientific HPC
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. Place of work is Department of Informatics at Blindern, Oslo. Job description This PhD project aims to study the convergence of high-performance computing (HPC) and AI, which is a subject that sees an
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optimization Familiarity with continuous-variable/bosonic systems, non-Gaussian states, multimode entanglement, or Wigner-function methods Experience with HPC workflows (cluster computing, GPU computing
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optimization Familiarity with continuous-variable/bosonic systems, non-Gaussian states, multimode entanglement, or Wigner-function methods Experience with HPC workflows (cluster computing, GPU computing
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can take up the position. Good oral and written presentation skills in English equivalent level C1 Experience in analyzing large-scale next-generation sequencing datasets in Linux/HPC environments using