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to be conducted on candidates in the final phase of the recruitment process. NORCE uses external actors to carry out such background checks or security interviews. Website for additional job details https
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algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML
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enabling precise visualization of biological processes at the molecular level. Working in close collaboration with scientific partners, the project aims to refine and optimize trapping methodologies
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for the persistence of non-dispersible barite sediment. A detailed understanding of these interactions will enable the formulation of optimized dispersion strategies, potentially enabling rigless P&A operations in
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samples. Optimize reconstruction algorithms for efficient large-scale 3D imaging, including high-performance and GPU-accelerated computing where appropriate. Design, optimize, and validate a refractive
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the recruitment process. A career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research
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, the Hospital Pharmacies Enterprise in South-Eastern Norway and the Medicines Optimization Innovation Centre, Nord-Irland. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job
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Nanolab and at UiT), including process optimization and structural characterization. Characterization of the fabricated chip with an optical set-up Integrate the chip in a system and adapt the system
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whether innovative design, additive manufacturing of metamaterials, and numerical optimization can reduce material use without compromising, and ideally improving, protective performance. The position is
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quantum computing, aiming to solve small, complex sub-problems using Quantum Process Units (QPUs) while leveraging classical High-Performance Computing (HPC) on data-intensive tasks. With dedicated