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of computer vision and machine learning Proficiency in English (oral and written) Experience with Deep Learning is a plus To Apply: Please send a long CV, motivation letter, and academic transcripts to Prof
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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
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. This PhD position will be integrated into the European Doctorate in Law and Economics (EDLE) Opens external , which is one of the largest doctorate programmes in the field. It is a joint doctoral programme
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for a PhD position at NMBU is at the same time an application for admission to a PhD program at the institution. The documentation that is necessary to ensure that the admission requirements are met must
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Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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computing. These include computer graphics and geometry processing, computer vision and image processing, visualization and visual analytics, augmented and virtual reality, machine learning and deep learning
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in AI. Previous publication record in relevant fields: AI, machine learning, computer vision, etc. Previous successful project on a relevant topic. Good knowledge of statistics, probability
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The University of South-Eastern Norway has a vacancy for a 100% position as PhD Research Fellow in Ecology of Vision at the National Centre for Optics, Vision and Eye Care from 01.04.2026
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
of next generation agentic AI systems. In this PhD programme, you will redefine how the world works, learns, and discovers, turning bold ideas into tools used by millions. You will then become one
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The Max Planck Artificial Intelligence Network (MP-AIX) has opened its general PhD call (applications via the ELLIS portal). The Multimodal Language Department, Max Planck Institute