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or signal analysis, data engineering, and healthcare data governance. Adept at developing/validating AI algorithms, and adhering to regulatory and privacy standards. Desirable: PhD in Computer Science, AI
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that prioritise student learning in the age of AI. Job requirements You hold a PhD in Educational Science, Learning Sciences, Social and Behavioural Sciences, Engineering Education, Human-Computer Interaction or a
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have the opportunity to contribute to various cutting-edge research areas. Several exciting research topics are proposed (not limited): Computer Vision / Remote Sensing for Agriculture: Explore
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independently and as a team member within a research environment. Ability to work efficiently and effectively with computer software including Microsoft Office. Skilled with the use of aseptic mammalian cell
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passionate about AI research and eager to make a real-world impact, we want to hear from you! Your Job Work on a wide range of computer vision and machine learning methods and applications focusing
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• SLAM, autonomous driving and mobile robotics • Remote sensing, image/video processing and computer vision • Object detection, tracking and classification using deep learning • Monitoring
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Infrastructure? No Offer Description Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining
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present scientific results. # Software and tools - Proficiency in standard computer tools. - Experience with mass spectrometry data processing and analysis software. # Personal skills - Autonomy, rigor, and
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having the opportunity to help shape their own research profile and outputs. Candidates should hold, or be near completion of, a PhD in Computer Science, Human-Computer Interaction, Digital Health
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Department. Required qualifications Must have a PhD in computer science or a related field. Must document a relevant research track record (e.g., peer-reviewed publications, active collaborations, and evidence