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] Subject Area: Data Sciences and Artificial intelligence Appl Deadline: 2027/01/01 04:59 AM UnitedKingdomTime (posted 2026/01/23 05:00 AM UnitedKingdomTime) Position Description: Apply Position Description
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chemistry, biomass recovery, the circular economy and advanced materials. Combining experimental approaches and artificial intelligence-assisted theoretical chemistry tools, E2P2L stands out for its close
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programme in Computing Science and MSc Artificial Intelligence. As our degrees programmes become more established, teaching duties may change to more advanced courses. The expectation is that all teaching is
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in computational musicology, digital humanities, computer science, artificial intelligence, or mathematics/statistics, with a PhD in one of these fields or a closely related field, and interested in
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and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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communication, science communication, cultural studies, and computational communication. We are especially interested in candidates with a focus on Asia-centred and artificial intelligence research. The National
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candidates working on the intersection of computer systems and other areas, such as systems for novel computer architectures and artificial intelligence. Qualified candidates are encouraged to submit
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(or equivalent) in Telecommunications, Computer Science, Mathematics, or similar fields. Training or experience in Data Science and Artificial Intelligence. Training or experience in Deep Learning. Proficiency in
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knowledge of machine learning and artificial intelligence experience working with biobank data developed analytical skills and the ability to independently solve problems in multidisciplinary teams work
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, United States of America [map ] Subject Areas: Electrical and Computer Engineering / artificial intelligence , Artificial Intelligence and Machine Learning (AI/ML) Starting Date: 2026/01/01 Salary Range: $62,232-$80,000