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spoken English and Chinese; outstanding communication skills; and the ability to multitask and work independently as well as in a team. Experience in healthcare data analysis and related track records
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at conferences and congresses Research will be carried out in either French or English, although non-French-speaking candidates are expected to make every effort to learn basic French to facilitate communication
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internal teams and external stakeholders, including U.S. Department of Energy offices and other national laboratories. Communicate research findings through peer-reviewed publications, technical reports, and
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participation in other ongoing projects in the lab and clear communication of research findings to both specialized and general audiences are expected. Additional responsibilities include: performing data quality
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prescription of treatments based on patients’ needs. This will help to build a stronger and more focused health service for the diverse communities of East London, the UK and the world. About Queen Mary At Queen
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defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
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, telecommunications or related field. Other requirements include: Strong background in wireless communication systems and networks Expertise in physical layer and MAC layer design for wireless systems Proven track
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of process modeling software (e.g., Aspen Plus, COMSOL, or equivalent) is a plus. Excellent written and oral communication skills in English. Ability to work independently and as part of a multidisciplinary
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for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a multidisciplinary team Evidence of strong communication and scientific
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to the scientific community. CORE JOB FUNCTIONS Conducts research on specific areas of study as assigned. Prepares research reports and technical papers for publishing. Investigates the feasibility of applying a wide