103 computer-programmer-"FEMTO-ST"-"FEMTO-ST-institute"-"FEMTO-ST" positions at Imperial College London
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part of a multidisciplinary team comprising spectroscopists, bioinorganic chemists, synthetic and computational chemists to tackle how CO2 fixation occurs through a biomimetic approach? Then this role
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Applicants are invited to apply for a new vacancy at Postdoctoral Research Associate level in Surgical Vision and AI for intraoperative surgical navigation and computer-assisted diagnosis. The post
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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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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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Dynamics (SPPD) also has a strong computational mathematics flavour both in terms of project definition and the desirable outcomes. What you would be doing The successful applicant will be working in
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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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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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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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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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. 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