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the State Pension Fund is deducted from the salary. The employment period is 3 years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering
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Computer Science, a Bachelor of Science degree in Cybersecurity, a Master of Science degree in Computer Science, and two multidisciplinary PhD degrees in Computer Science and Information Systems and Engineering and
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Heritage; Visual Art and Digital Humanities, Audio and Media Art (Animation / Film / Interactive); and Design Studies. Key Responsibilities: Establish a robust research and creative-practice agenda in
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, information visualization and/or human-computer interaction Publications and dissemination of research findings (in journals and at conferences) Active participation in institute’s fund-raising enveadors Active
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
planning and coordination of production activities in supply chains and generate managerial insights and practical guidelines for practitioners. Take part in the mandatory PhD research education program
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weaker grade background, you maybe considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme
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technology, environmental sustainability, resilience and vulnerability and decision support systems. The position is for a period of four years. The nominal length of the PhD programme is three years
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particularly suitable for a PhD education. You must meet the requirements for admission to the NV faculty's Doctoral Programme . (https://www.ntnu.edu/nv/phd) Documented experience with Python or another
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program and support recruitment efforts across all SM programs, with responsibility for developing, executing, and managing recruitment and prospective student engagement strategies. Act as the primary
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from diverse backgrounds including data sciences, computing, statistics, epidemiology and human computer interaction. We collect, analyze, and interpret complex, multi-scale real-world data from large