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in our key strategic fields, including but not limited to: Advanced Integration Technology, Biomedical and Health Engineering, Advanced Computing and Digital Engineering, Biomedicine and Biotechnology
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technologies to support the hazard assessment of chemicals under European safety legislation. Our mission is to accelerate the world’s transition towards safer chemicals without vertebrate animal testing, using
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manufacturing capabilities, and high-performance computing resources. The ideal candidate will have a track record of high-impact first or lead-author publications, demonstrable potential for independent research
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, tutorials and computer lab sessions. Act as a personal tutor, providing academic and pastoral support to students. Supervise undergraduate and master’s dissertations in Financial Technology. Mark exams and
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, engaging students and supporting their academic development. What will you be doing? In this role, you will: Teach undergraduate students through lectures, seminars, tutorials and computer lab sessions. Act
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have active clinical and research programmes in understanding the immunobiology of haematological disease. The postholder will help develop their independent programme of research in molecular immunology
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About the job: The School of Electronics, Electrical Engineering & Computer Science (EEECS) at Queen's University, is seeking to appoint a Lecturer in Artificial Intelligence.This post will be based
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computer lab sessions. Act as a personal tutor, providing academic and pastoral support. Supervise undergraduate dissertations in Data Science / Statistics. Mark exams and coursework and contribute
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applications to solve specific problems in practice. (Desirable) Ability to assess and use appropriate tools, while also contribution to innovation within the programme. (Desirable) Problem solving and
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will include participating in delivering the programme curriculum with the teaching team. Contribute to the efficient management, administration, and monitoring of the course. Contribute to other