122 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at King's College London
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
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-invasive biomarker sampling via the skin, the use of natural compounds to modify skin keratinocyte function, development of topical formulations that generate gases, novel formulations for drug delivery
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portfolio of postgraduate programmes within the Departments of War Studies and Defence Studies, ensuring smooth delivery and a high-quality student experience. The role will also contribute to the development
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impactful research in long-term condition management and intervention development. This is a part-time post (50% FTE; 2.5 days per week), and you will be offered a fixed term contract until 16/02/2027. Please
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mutations in specific genes has enabled precision diagnosis and more recently the development of genetic therapies. However, we lack the imaging tools to understand of how these mutations disrupt healthy
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of managing a team including performance management and development of team members Self-starter and proactive, with ability to work on own initiative Desirable criteria Experience of working in an education
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academic impact of the university. This post is part of the business operations career pathway in the university, with progression and skills training opportunities to facilitate further development. This is
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to the development of marketing plans which support attraction of prospective students and enhance conversion numbers. The role will work collaboratively across the Global Student Recruitment and Admissions team
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, innovative undergraduate and postgraduate teaching. The successful candidate will also play a role in the institutional and intellectual development of the Department and undertake Departmental, School
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. The proposed objectives and research plan (with milestones) and development during the 18-month fellowship. 3) The candidate’s planned fellowship/career applications after this award and how they believe