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- NTNU - Norwegian University of Science and Technology
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- NTNU Norwegian University of Science and Technology
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to and from work as an employee in Norway, you will have access to an optimal health service, as well as good pensions, generous maternity/paternity leave, and a competitive salary. Nursery places
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of the following: Analyze the extent of PFAS contamination in Norwegian soils using cutting-edge analytics. Optimize plant and grass species for phytoremediation through field and greenhouse experiments. Refine
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increasing the number of professionally active seniors Hjem-jobb-hjem , discounted public transport to and from work as an employee in Norway, you will have access to an optimal health service, as well as good
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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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communications, and can be used to diagnose diseases, while microbacteria are important for research on antibiotics resistance. The main task for this position is to design, fabricate and optimize a photonic
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Norway, you will have access to an optimal health service, as well as good pensions, generous maternity/paternity leave, and a competitive salary. Nursery places are guaranteed and reasonably priced
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work as an employee in Norway, you will have access to an optimal health service, as well as good pensions, generous maternity/paternity leave, and a competitive salary. Nursery places are guaranteed and
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Energy and Environmental Economics, focusing on macroeconomic analysis of energy transition policies
to 120 credits) in Economics, Optimization, Econometrics, or related disciplines. Applicants should have a strong academic background with a grade of B or better in terms of NTNU’s grading scale
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optimization for the compute continuum, across cyber-physical systems (CPS), distributed artificial intelligence (AI), and high-performance computing (HPC), from the data center to the edge devices
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, reliable, and efficient power systems by leveraging advanced control and optimization approaches. I focus on real-time and cyber-physical co-simulation techniques to design and validate intelligent energy