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Field
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localisation and sensing algorithms that achieve near-GNSS accuracy while improving robustness, energy efficiency, and spectrum utilisation in integrated terrestrial and non-terrestrial networks. Position You
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antigens targeting conserved B-cell and T-cell epitopes of respiratory pathogens. • Development of de novo protein scaffolds, nanoparticles, and multivalent immunogens. • Application of generative protein
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD project is connected to FME NorthWind (https
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characterization of HIV RNA/DNA in primary material as well as model cells using Oxford Nanopore sequencing and complementary molecular and computational approaches. The doctoral student will help develop, optimize
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-guided treatment planning and targeting Optimization of targeted drug delivery and therapeutic dosing Development of closed-loop ultrasound neuromodulation systems Design of custom hardware and software
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proteinaceous, and high energy (fat), body mass. Within the industry there is interest in two main business models; one is the efficient production (concentration) of proteins and fats, to be used as feed
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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
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, flexibility, and operational efficiency of existing battery recycling processes. Specifically, it aims to improve and optimize cost and recovery efficiency of existing scaled recycling technologies and develop
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immediate leader will be the Head of Department. About the project Many critical decisions in science and engineering, from managing power grids to planning subsurface energy operations, depend
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the Head of Department. About the project Many critical decisions in science and engineering, from managing power grids to planning subsurface energy operations, depend on computational models