96 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Imperial College London
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. For more background and information on the Schools: Schools of Convergence Science | About | Imperial College London Your main duties will include: Leading the co-development of an Impact Plan for one
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team, to deliver all aspects of the selection process at department level for the undergraduate MBBS Medicine programme. You will have strong communication and organisational skills and be able
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including non-NHS and non-healthcare related studies With the support of the Senior RGIT Team, you will lead on development, implementation and enforcement of the audit programme for research studies and
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care medicine collaborating with multiple specialities and funders. Furthermore, you will be expected to develop a nationally leading programme of research that will have excellent synergy with
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Intelligence for Humanity. Research – As a part of the Dyson School of Design Engineering, you will actively develop and lead your own research programme, in line with our research themes and vision. You will be
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dynamic teaching team. The successful candidate will contribute to the delivery and ongoing enhancement of our Learning and Teaching (L&T) activities across the MEng in Design Engineering and MSc programmes
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. Research – As a part of the Dyson School of Design Engineering, you will actively develop and lead your own research programme, in line with our research themes and vision. You will be expected to undertake
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, students and visitors Computer literacy, experience of Microsoft Office and Outlook A flexible approach to work, with willingness to work a 5 over 7-day shift pattern including evenings and weekends, and
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environment for undergraduates, Masters and PhD students, as well as post-doctoral research fellows. You will be expected to bring or develop a research programme in bacterial/fungal infection biology. You will
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. You’ll work closely with colleagues across ICT, the Digital Campus programme, and Imperial-wide to ensure alignment on accountability for cross-divisional data and systems, rationalising and integrating