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- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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in the research and teaching area of magnetic resonance imaging (MRI). The role holder will be expected to contribute to teaching and curriculum development for undergraduate and postgraduate
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research and teaching in the area of Electrical and Electronic Engineering, particularly in the fields of Magnetic Resonance Imaging (MRI), make a contribution to the direction of taught and research
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Engineering, particularly in the fields of Magnetic Resonance Imaging (MRI), make a contribution to the direction of taught and research programmes in the Department of Electrical and Electronic Engineering.The
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candidate will be expected to make a significant leadership impact within their academic unit and in the research and teaching area of magnetic resonance imaging (MRI). The role holder will be expected
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department aims to expand its research in practical applications that drive technological progress and tackle global challenges. such as quantum technologies, advanced imaging, and innovations in materials
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innovation across the multidisciplinary landscape, and tackle the defining scientific challenges of our time. Research Fields: Mathematics and Applied Mathematics Imaging Technology and its Mathematical
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Position Description Main Responsibilities 1. Conduct Drug discovery and high throughput genomic imaging study. 2. Stablish high throughput (HTS) techniques, including automated seeding, dispensing, and
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How to apply Interested applicants should submit a cover letter which details how they satisfy the outlined requirements, a current CV, a statement of teaching philosophy, a scanned passport image copy
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: Artificial intelligence, computer vision and pattern recognition, image processing, natural language processing, virtual reality and game, robotics, software engineering, programming languages, multimedia
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Languages, Machine Learning, Data Mining, Data Processing, Statistics, artificial intelligence, parallel and distributed systems, cryptography, computer and network security, computer vision, image processing