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and mass spectra using quantum chemistry and related methodologies. - Create AI/ML models for high-fidelity prediction of the infrared and mass spectra and validate their use in matching experimentally
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to decarbonisation, and the motivation to determine how quantum computing can advance this area. You will be based in an established team of experts in computational molecular and materials science within the AIBN
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manipulating omics datasets, including spatial transcriptomics, RNA-seq, and single-cell RNA-seq. Familiar with high-performance computing (HPC) environment and possesses good computational biology skills
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degree, as well as a postgraduate PhD research program for over 50 students. 33 academic staff conduct theoretical and experimental research in quantum physics, astrophysics, fundamental physics; and
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from AI data centres and high-performance computing. The appointed Research Associate/Fellow will conduct computational studies of electronic transport and quantum phenomena in 2D semiconductor materials
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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Postdoctoral Fellowship program. QUP was established on December 16, 2021, at High Energy Accelerator Research Organization (KEK) as one of the research centers under the World Premier International Research
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computational design and wet-lab validation to establish predictive structure–property relationships. Perform quantum chemical calculations (e.g., DFT/TD-DFT) to interpret electronic structure and excited-state
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reduce the electricity demand from AI data centres and high-performance computing. The appointed Research Associate/Fellow will conduct computational studies of electronic transport and quantum phenomena
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Mar 2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU