115 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" 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
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Metabolic Medicine & Sciences, Life Course & Population Sciences, Basic & Biomedical Sciences, Biomedical Engineering & Imaging Sciences, and Immunology & Microbial Sciences) and where relevant the Centre
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to cutting-edge efforts to predict and understand psychosis and affective disorders. We welcome applicants with a background in psychology, psychiatry, biomedical engineering, or related disciplines who
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intensive research and/or technologically focused environments, with a strong interest in science and technology, particularly in growing areas such as artificial intelligence. Strong networking
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Science & Public Policy; Faculty of Arts & Humanities; King’s Business School; and Faculty of Natural, Mathematical, and Engineering Sciences. The Health Research Development team provides a similar role
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for students, staff & partner providers, enabling the delivery of education through managing quality, programme, placement and assessment administration. We provide dedicated student support that prioritises
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and historical warfare, gender, international relations, migration and borders, security studies, strategic studies, technology and violence. The Department is located within the School of Security
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) and health faculty leadership to oversee the development of our academic strategy for campus development, delivered through the Campus Futures Programme, to integrate our institutional ambitions in
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lecturer to develop and lead an ambitious programme of research in the field of PET Physics, with expertise and interest in PET technology, methodology and data analysis. This will involve collaborating with
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sensing, ecology, statistics, engineering, data science, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming