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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in
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, cultural practices and technologies between China and the Mediterranean or any sub-region between the two at any period up to the present day. This Research Fellowship is part of a broader programme, which
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papers Contributing to quarterly and annual report writing and presenting Job Requirements: PhD degree in Artificial Intelligence, Computer Science, Software Engineering Strong background and research
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer science
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integrated circuits Coordinate foundry submissions for the entire center Job Requirements: PhD in electrical engineering, with more than 4 years of relevant experience. Skills in photonic platform development
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of the project. Qualifications • Professional requirements: o PhD (or equivalent) in acoustics (preferred specialisation in Building acoustics or Acoustics Materials) or related discipline. o Essential
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be hosted in the Faculty of Life Sciences & Medicine Hub for Applied Bioinformatics. This post is jointly funded by the Borne Foundation (50%) and King’s Health Partner’s Centre for Translational
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: Preferably PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written