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Field
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this project, you will develop novel multimodal imaging workflows that combine mass spectrometry imaging, multi-omics, digital pathology and artificial intelligence to understand how Antibody-Drug Conjugates
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that you apply early as the advert may be removed before the deadline. This project is a collaborative initiative between SLB and the University of Manchester, aimed at developing a data-driven digital twin
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project on the role of generative AI in how citizens access political information. Generative AI systems such as ChatGPT and Claude have rapidly become a ubiquitous source of information. Increasingly
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and measuring corrosion data into a unified knowledge base. On the digital side, the project will employ natural language processing and AI-driven data extraction to automatically harvest corrosion data
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, including producing accessible outputs for non-academic audiences (e.g. policy briefs, reports, digital content). F2 Experience supporting knowledge exchange and stakeholder engagement activities, such as
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digital side, the project will employ natural language processing and AI-driven data extraction to automatically harvest corrosion data from the scientific literature. On the experimental side, it will
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at a basic level (A2) As a PhD Candidate at NTNU, you will have access to employee benefits . Diversity Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in
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employee at NTNU Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK) Free Norwegian language training at a basic level (A2) As a PhD Candidate at NTNU, you will have access
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research and innovation centre for nanoelectronics and digital technology. The worldwide team of 6,000 scientists, engineers, and innovators from over 100 countries, is driven by a shared passion to push
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researchers working across hardware security, embedded systems, cybersecurity, and digital forensics. A significant part of the research will be carried out in the Hardware security and Reverse Engineering