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highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to predict the impact of mutations on genes in the avian flu virus and the viral host which
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binding pockets. About the role We are seeking a highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to identify domain functional families
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to lead device commercialisation activities. • A world-class, multidisciplinary research environment spanning optics/photonics, nanotechnology, artificial intelligence (AI), and clinical medicine
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, our strength in methodological rigour, artificial intelligence, and our contributions to methodological developments are also part of our research strategy. Duties of the Role We wish to appoint two
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. Candidates will: Hold a PhD (or equivalent) in an appropriate discipline. Have the potential for leadership qualities in the subject, as illustrated, for example, through showing initiative on research
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for their career development and a community of I-X AI in Science women. The I-X Women in Artificial Intelligence (IXWAI ) founded by two of our current Fellows aims to enhance representation of women in AI and
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including additional funds for their career development and a community of I-X AI in Science women. The I-X Women in Artificial Intelligence (IXWAI ) founded by two of our fellows aims to enhance
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women. The I-X Women in Artificial Intelligence (IXWAI ) founded by two of our fellows aims to enhance representation of women in AI and foster an environment where they are valued, supported and inspired
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-driven models to optimize solvent systems. Mentoring the training and learning of PhD and undergraduate students on sustainable biomass conversion topics Assist in report/document/further grant writing
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Institute of Data Science. General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer Engineering, or a relevant discipline; (ii) a good