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Laboratory (HRE Lab) at NTNU, together with its hardware analysis and reverse-engineering capabilities. The candidate will design and conduct controlled experiments to investigate vulnerability mechanisms
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transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and ship surveillance; Decarbonization and energy management
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description of research questions, theoretical perspectives, methodological design for the project and progress plan (maximum 1500 words/4 pages) Short letter of motivation (400 words/1 page) Possibly
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The position is within the EU Horizon Europe project ‘Integrated Innovation Ecosystems for Transformative Nexus Governance towards Enhanced Water Resilience (INTEGRATOR)’. The overarching project objective is to
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requires overcoming coupled challenges in device switching behaviour, converter design, electromagnetic interference, thermal management, and long-term reliability. This PhD project will investigate advanced
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design and fabricate laser-induced graphene sensors and sensor arrays (temperature, strain, pressure) using ASEMlab's laser-processing infrastructure characterise and calibrate the sensors
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will be designed to work collaboratively with trainees and instructors rather than replacing them. The AI agents will leverage LLMs for knowledge acquisition, natural language interaction, and decision
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perspectives and draw well-founded conclusions. Be flexible and open to adjusting the plan for the project as needed. Enjoy collaborating, working with others. Emphasis will be placed on personal qualities. We
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for an overall description of research questions, theoretical perspectives, methodological design for the project, and progress plan (maximum 1500 words/4 pages, including references). This proposal shall neither
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innovation, robust governance and broad capacity building. AI LEARN is a consortium of 31 national and international partners from academia and the public and private sectors. About the project/work tasks