114 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "J" positions at King's College London
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role We
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of supervising postgraduate students and experience in directing an individual/team research project or programme of work at an international standard 2. Contribute positively to the culture within
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in health and disease and apply this knowledge to the development of new and innovative clinical practise, alongside providing a rigorous academic programme for students. About the role Applications
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portfolio of non-clinical work-related learning activity, including internships, placements, the Insights programme and related experiential learning opportunities, providing an efficient and effective
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. The broader goal of the overall programme, funded through the Wellcome Trust bioimaging technology development initiative, is to deliver multimodal datasets in an interoperable manner through open access
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international partners and maintains strong links with rheumatology and primary care services throughout the NHS. We have an active programme of patient and public involvement, which informs all stages of our
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receive relevant supervision and training in specialised techniques and will meet with their line managers on a regular basis to review results and plan experiments. Equally, once established, the post
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provision of various aspects of programme management across the faculty’s post-graduate taught programmes, including our Continuing Professional Development offerings. The role will include responsibility
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events on MS Teams, including securing speakers, briefings and ensuring smooth delivery. 5. Able to plan and prioritise work effectively; setting clear expectations for others through influence and
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clinical base at the Maudsley Hospital and involves affiliated laboratories across King’s Health Partners. The programme is strongly lead by statistical modelling to predict not just Parkinson’s disease (PD