48 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" "https:" positions at University of Oslo
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Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The research group on statistical models for high-dimensional and functional data is part of the larger and active research
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statistical physics, solid mechanics, or fluid mechanics Experience with data-driven modeling, parameter estimation, or model calibration Familiarity with high-performance computing or large-scale simulations
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language models for the languages of Europe, as well as the Horizon Europe project High-Performance Language Technologies (HPLT). The group represents extensive experience and expertise in web-scale data
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
with high-performance computing or large-scale simulations Interest in close collaboration with experimental researchers Language requirement: Good oral and written communication skills in English
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Glide, AutoDOCK) Experience with molecular dynamics simulation packages (AMBER, NAMD, GROMACS) Familiarity with high-performance computing or GPU-accelerated simulations Interest in G protein-coupled
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computing on high-performance supercomputers such as Saga and LUMI to accelerate drug candidate identification. The position may include secondments to industry partners for biophysical analyses (X-ray
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medication type, age at first use, and sociocultural and geographical context. As a PhD fellow, you will be working with large-scale longitudinal data, managing data, writing scripts, performing statistical
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calibration Familiarity with high-performance computing or large-scale simulations Interest in close collaboration with experimental researchers Language requirement: Good oral and written communication skills
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