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Field
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the lab In-beam tests of the produced detector system at the beginning of the FAIR commissioning and operations phases Optimization and adaptation of the detector system to the FAIR experimental needs
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optimize the detector and its parameters. In this project, you will focus on developing a suitable solution for integrating photo detectors with the analog front-end. You will work on this solution, ensuring
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all children with cancer, with optimal quality of life. The center brings together the best possible care and scientific research, creating a unique interdisciplinary institute for pediatric oncology in
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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
production of materials – mainly metallic and ceramic – as well as application aspects. PROJECT DESCRIPTION The PhD student will focus on the synthesis, optimization, and characterization of advanced sorbent
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optimization of machine learning methods for processing Quantum OCT (Q-OCT) signals. Design, training, and testing of neural network architectures for artefact and dispersion removal in Fd-Q-OCT and SS-Q-OCT
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optimization strategies to maximize yields of desired products. A key aspect of the project is understanding and improving catalyst stability, including identifying deactivation mechanisms and developing
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-MID prototyping and performance optimization of structure-embedded sensors and nanogenerators. Depending on applicant’s skillset the research objectives may include implementation of AI-assisted in
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, by that enabling improved control and optimization. Stall detection will be a natural part. The PhD project is internally financed but will be associated to two large research programmes at NTNU and
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crack initiation and propagation; Development and validation of a digital twin with an appropriate level of maturity; Proposal and evaluation of new cluster architectures; Validation of optimized
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with advanced photoreactors, modular LED light sources, inline analytics, and machine-learning algorithms for the autonomous optimization of photocatalytic reactions. Research will address key challenges