52 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"O.P"-"Prof"-"UCL" positions at Imperial College London
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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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. 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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, Science for Humanity, is ambitious and seeks to maximise Imperial’s potential as a force for good in the world. Our Imperial Class of 2030 programme will nurture the most talented, enterprising and diverse
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instructions. You will ideally have experience of using CAD and CAM software. Experience of using water jet cutting machines and their programming software is desirable. You will also have an ability to deal
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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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Behaviour in Design Engineering. 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
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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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, broadly. 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
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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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interest in research. Demonstrated ability to plan, conduct, and analyse clinical research independently. Proficiency or willingness to develop skills in bioinformatics, data analysis, and machine learning