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About the Project Project details The forestry industry in New Zealand, with NZ$5.89 billion in annual export revenue, is under pressure due to cyclones and tropical storms. Sales are arranged ahead of harvest using estimates of wood production constrained by UAV and Airborne laser scanning...
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aims to develop physics-informed artificial intelligence tools for single-molecule fluorescence microscopy. The PhD student will focus on designing AI-based methods for quantitative analysis of protein
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PhD programme focused solely on the safety of artificial intelligence (AI). Our vision is to train future leaders with the research expertise and skills to ensure that the benefits of AI systems
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PhD Scholarship in Generative Artificial Intelligence Job No.: 686325 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful
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PhD Candidate in Exposomics, Machine Learning and Artificial Intelligence Faculty: Faculty of Veterinary Medicine Department: Department Population Health Sciences Hours per week: 36 to 40
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. Experience with numerical methods, finite element method, statistics and machine learning is desirable. How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and a 300-word statement
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that you will help us to build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject, RAI, at the department of Computer Science and Electrical and Space
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that you will help us to build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject, RAI, at the Department of Computer Science and Electrical and Space
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looking for a full-time (100%) doctoral scholarship holder in the field of artificial intelligence. The research of this PhD position will be conducted in the IDLab research group , which is embedded in
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these unique datasets using advanced artificial intelligence methods to automatically analyze blood-flow velocity, vessel diameter, and the functional response of the retinal vascular network. The project