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automation strategies that enhance operator safety by reducing direct human involvement in hazardous or labor-intensive processes. This may involve automated support systems, intelligent interfaces
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and research, in and outside academia. This PhD fellowship is part of the newly established AI Centre for the Empowerment of Human Learning (AI LEARN) . Your immediate leader will be the leader
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11th May 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Human-Centred AI Infrastructure Apply for this job See advertisement This is
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Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering within three months of your employment contract start date, and that you participate in an organized doctoral
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forward allele-frequency diffusion and backward genealogical merging processes. The PhD candidate will work at the interface of machine learning, statistics, probability, and with applications in
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be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the Doctoral Programme of the Faculty of Engineering at NTNU
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forward allele-frequency diffusion and backward genealogical merging processes. The PhD candidate will work at the interface of machine learning, statistics, probability, and with applications in
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background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the Doctoral Programme of the Faculty
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, 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 Good written and oral
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% statutory contribution to the State Pension Fund is deducted from the salary. The employment period is 3 years. Appointment to a PhD position requires that you are admitted to the PhD programme in Industrial