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statistical and machine learning to real life problems, using a popular computer language (e.g. Matlab, Python), and familiarity with topological and geometric data analyses. Candidates will have excellent
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empirical research. They will oversee specific research tasks, develop new techniques, and generate original contributions to the programme while fostering a collaborative team environment. Key
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of program training opportunity About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we’ve fostered
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About the Role The role requires a high level of technical expertise and is a key contributor in driving forward a significant program of application improvements through maximizing system
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their views of our Programme and School. Arranging interviews for applicants with Alumni for defined candidate pools. Building and maintaining good working relationships with Students and Alumni to help with
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CPD programme at the RVC. We are looking for candidates with excellent organisational, administrative and IT skills who will thrive in a busy and challenging role. We also require experience in
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(Maternity Cover) to support teaching on the mentorship programme and the evaluation of the online MSc Sexual and Reproductive Health Policy and Programming (SRHPP) which is co-delivered with the University
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the Academy's Access and Participation Plan. The post holder will have an excellent knowledge and experience of pre-18 music education and the transition to higher education. They will be committed to widening
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quality. In addition the post holder will be required to adopt a College wide perspective and build relationships with a range of stakeholders to facilitate delivery of the estates capital programme. In
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Engineering or related area. You should have expertise in computational-modelling, analysis, and high-performance computing, with proficiency in CFD, fluid-structure-interaction and programming. Experience in