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ability to plan and organise short-term andmedium-term activities. Excellent team working skills. Excellent oral, communication and interpersonal skills. Responsive to change and adaptable to new challenges
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effectively with a high level of graphic and design awareness and ability. Developed English language skills sufficient to relay complex information in English both orally and in writing. Proven ability
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to the advancement of AI applications in biological sciences. This role presents a unique opportunity to work with pangenomic datasets while exploring the application of Large Language Models (LLMs) and machine
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to supervise undergraduate and/or postgraduate student projects. Be able to demonstrate their ability to work effectively as part of a team and to communicate complex information effectively in English, both
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to a variety of audiences. Ability to communicate effectively in English, both orally and in writing. A commitment to creating an inclusive and supportive academic environment, enhancing equality
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and development of business cases, systems and processes in the achievement of the Queen's Sport business plan and for the co-ordination and delivery of marketing communications, customer services
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The purpose of this role is to support the work of the RICHeS programme at QUB providing research and access to archaeological and heritage science. The RICHeS Scientist (Research Fellow) will be a
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, supported by PEACEPLUS, a programme managed by the Special EU Programmes Body (SEUPB). The PEACEPLUS programme is co-funded by the European Union, the Government of the United
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machine learning/AI or cybersecurity, or both, as evidenced by a strong track record of publications in leading journals and conferences in relevant areas. Software programming skills. To be successful
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of the research theme. Some exposure to commercialisation market studies or IP processes. Strong skills in MATLAB Simulink and other modelling tools. Programming skills including software for programming DSP, PSoC