9 programming-"Multiple"-"Prof"-"Embry-Riddle-Aeronautical-University"-"FEMTO-ST-institute"-"O" positions at Imperial College London
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at the interface between computational design and in vitro experiments, the team has developed multiple in silico and in vitro methods to design novel antibodies and nanobodies as therapeutic agents and research
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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programme for Nurses, Midwives, Allied Health Professionals, Healthcare Scientists, Pharmacy staff and Psychologists (NMAHPPs). The role co-ordinates and support all areas of CATO activity related to NMAHPPs
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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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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
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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
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university-wide learning and talent initiatives. This isn't just about managing programs; it's about re-imagining how learning and talent development integrate across every stage of the employee lifecycle
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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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of the instrument design, build and test programme. There will be the opportunity to engage in a range of tasks, key examples of which are shown below. Supporting the instrument design activities Performing critical