12 programming-"Multiple"-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" 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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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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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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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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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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The Particle Physics Community at Imperial invites applications for a Research Associate position to work on the Deep Underground Neutrino Experiment (DUNE) in the USA. The research programme will
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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
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healthcare to enhance cardiovascular health research and improve personalized treatments. You will facilitate the integration of multiple datasets, including imaging, clinical, and demographic information and
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are met. As a strong organiser and administrator, you will have scope to plan and prioritise your workload to meet essential deadlines and proactively manage the responsibilities of the role. The postholder
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/c.chiu ) . Respiratory viral infections are among the most important causes of severe disease and death worldwide. The overall theme of this research programme is to understand the factors associated with