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the COVID-19 vaccines) is a highly dynamic and fast moving field. We have developed a generative AI algorithm to optimize the mRNA, and we are looking for an experienced wetlab researcher to test the
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positions are possible if suitable candidates can be identified. The candidate is expected to have a PhD degree in astrophysics or related principles and will work with Prof. Bing Zhang to conduct research in
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pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Usama Fayyad, the Institute for Experiential AI is built around the
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Information Engineering and Media to develop Machine Learning and AI algorithms for real-world and media-related applications. The Research Associate/Research Fellow is also expected to support teaching
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opportunity, please contact Prof Michael Yu - c.yu@uq.edu.au . For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au , stating the job reference number (below) in
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Desirable criteria Experience of advanced statistical and/or machine learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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neurotechnologies. The goal is to contribute broadly to research on applications of AI in medicine, and in particular to the development and validation of novel computational language models, algorithms, and tools
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qualification. Applicants are invited to contact Prof. Gangyan Xu at telephone number 3400 2484 or via email at gangyan.xu@polyu.edu.hk for further information. Conditions of Service A highly competitive