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- NTNU - Norwegian University of Science and Technology
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- NTNU Norwegian University of Science and Technology
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discussions, ensuring continuous learning and vibrant scholarly exchange. Comprehensive Skill Development: Alongside academic training, you will acquire transferable skills essential for professional success
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University of Science and Technology (NTNU) has five vacancies for PhD candidates within different disciplines of Systems Engineering/New Product Development, funded through the Centre for Research-based
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position that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired candidate will be admitted to the PhD program in Science
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, or development studies. Admission requirements (1) To be admitted to the PhD Programme in Educational Sciences for Teacher Education, the applicant must normally have completed a five-year master’s degree
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, exploring its emergence and advertisement as a commercial object and its introduction and development in the healthcare practice in social democracy, how it was normalized and naturalized (or not) and how it
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introduce fundamental challenges related to guidance, control, coordination, and human–machine interaction. This PhD position addresses these challenges through the development of high- Technology Readiness
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design, and lifecycle performance. A key outcome of FAST is the development of the FAST Virtual Lab, a digital framework combining experimental data, physics-based models, and data-driven methods
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of psychosocial environments, SISU and PRISM characterize families and schools optimal for psychological development in a global crisis. Our explanatory variables of interest are based on open aggregated
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institutions with regular interactive online seminars, journal clubs, and research discussions, ensuring continuous learning and vibrant scholarly exchange. • Comprehensive Skill Development: Alongside academic
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. Duties of the position The technical work tasks concern: Development of AI-driven methods for smart testing and continuous assurance of autonomous maritime systems, with primary focus on autonomous