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-time academic staff. Full-time Lecturer in the area of Artificial Intelligence driven Drug Discovery2 Vacancies (Ref. 2425-FCA-009) Job Duties: Applicants shall perform the duties as stipulated in
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Artificial Intelligence and Digital Media (Ref: FST250523) Job Description Candidates will have a strong background in both artificial intelligence and digital media, and will be tasked with developing and
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, separation, and catalysis, with a focus on carbon capture and conversion technologies. Artificial Intelligence: Leveraging AI and machine learning to optimize material design and catalysis processes. Carbon
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: Professor/Associate Professor/Assistant Professor in Computer Science and Technology/Artificial Intelligence (Ref: FST241108) Job Description Candidates with expertise in one or more of the following areas
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: Programming for Business Applications, Database Management and Applications, R Language for Statistics, Data Mining with Big Data, Artificial Intelligence and Deep Learning, Statistical Reasoning for Business
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within a Research Infrastructure? No Offer Description SCHOOL: School of Artificial Intelligence and Advanced Computing (AIAC) ACADEMIC DISCIPLINE: Artificial Intelligence, computer science, data science
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within a Research Infrastructure? No Offer Description SCHOOL: School of Artificial Intelligence and Advanced Computing (AIAC) ACADEMIC DISCIPLINE: Artificial Intelligence, computer science, data science
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limited to the following areas: Electronic and Information Engineering Materials Science and Engineering Artificial Intelligence Advanced Engineering Sciences and Technology We sincerely invite young
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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
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develop interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain