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Field
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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practices. The findings will serve as the empirical foundation for the security framework. Defensive Strategies: Propose and prototype new defensive architectures and techniques that can be integrated
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blot, RT-qPCR, CRISPR, etc.); - Perform live-cell confocal microscopy (including image acquisition and analysis); - Provide technical support for all experimental activities within the project
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strategies, SiP and chiplet architecture Fault tolerance, robustness and reliability Functional / Cryptographic agility in hardware Prototype and design new architectural innovations, including chiplet
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chiplet architecture Fault tolerance, robustness and reliability Functional / Cryptographic agility in hardware Prototype and design new architectural innovations, including chiplet oriented architectures
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performed in close collaboration with experienced team members. Additionally, the candidate will acquire skills in performing in vivo PET/SPECT and MR/CT imaging experiments and data analysis. The candidate
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to work as part of a team; Knowledge and experience in Geographic Information Systems (GIS), including spatial analysis, processing of geographic data, and production of detailed maps. Experience with GIS
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context Enhancing your contribution to the organisation through an understanding of the bigger picture and showing commitment to organisational values. Developing self and others Showing commitment to own
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employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . About the position The Language Acquisition
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in conducting human behavioural experiments or human-centered field studies. Demonstrated experience in using machine learning, such as deep learning for image processing, or natural