31 computer-programmer-"https:"-"https:"-"HFML-FELIX" positions at MAYNOOTH UNIVERSITY in Ireland
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record of teaching, research and publication, appropriate to career stage. They will be expected to make a strong contribution to the teaching programme of the Department and undertake teaching duties
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expected to make a strong contribution to the teaching programme of the Department and undertake teaching duties on the Department’s undergraduate and postgraduate programmes as well as the supervision
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across the University. The appointee will be expected to make a strong contribution to the teaching programme of the School and to undertake teaching duties on the School’s undergraduate and postgraduate
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expected to make a strong contribution to the teaching programme of the Department and undertake teaching duties on the Department’s undergraduate and postgraduate programmes as well as the supervision
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student supports, dedicated support for complex additional needs is hugely beneficial in ensuring student success. Our Maynooth Access Programme (MAP) Student Advisors are a key part of how we support the
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and non-accredited professional development initiatives. They will work with faculty and programme teams to support the development of research-informed and pedagogically innovative flexible curricula
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evaluating the Maynooth University Access Programme Student Success Initiative (Sunflower Project). The successful candidate will contribute to the design of the research framework, assist with the ethical
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University’s Strategic Plan. Key functions of this role include supporting the set up and roll out of a new Learning Management System (LMS); rolling out new development supports associated with the Competency
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Distributed/cloud computing architectures Future Beyond-5G and 6G capabilities under development by 3GPP standards bodies We are therefore, seeking a motivated and detail-oriented Research Assistant (x2
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project's analytical and computational objectives. Working closely with experienced team members, the role will involve building and testing models, preparing datasets for analysis, and supporting the wider