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collaboration. The successful candidate will be exposed to and trained in both low-level instrumental modeling, high-level component separation and cosmological parameter estimation, and high-performance
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frameworks). Experience working with large HPC-produced datasets and/or high-performance computing environments. Experience in compiled languages and performance-oriented environments (e.g., Fortran/C/C++ and
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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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team. The successful candidate will have access to a well-equipped laboratory and access to the Universities’ core infrastructures, including high-performance computing. In addition, we have productive
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
data-driven modeling, parameter estimation, or model calibration Familiarity with high-performance computing or large-scale simulations Interest in close collaboration with experimental researchers
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qualifications: Experience in statistical physics, solid mechanics, or fluid mechanics Experience with data-driven modeling, parameter estimation, or model calibration Familiarity with high-performance computing
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hydrogenation, dehydrogenation, and hydrogen transfer reactions. Detailed characterization and kinetic studies will be performed to test computational predictions and microkinetic models, and to refine machine
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, including high-performance computing. In addition, we have productive collaborations with the Norwegian Epilepsy Association, the Neurosurgical Department at Oslo University Hospital, as
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Palma, to several satellites such as ESA’s Solar Orbiter, NASA’s IRIS and SDO, and in the near future MUSE. The group is a major user of local and national High-Performance Computing facilities. RoCS, and