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Field
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Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in myeloproliferative neoplasms (MPNs). You will take a lead role in conducting wet lab
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The Impact and Shock Mechanics Laboratory (ISML) is seeking a highly motivated scientist to support a high-value materials characterisation programme as a postdoctoral researcher. The ability
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supervisor), working with Dr David Watson (Department of Informatics). This position is funded by King’s Climate and Sustainability. The key responsibilities of the role are to develop machine learning
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and present the results at national and international conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a
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via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, physics or a related discipline, and have experience
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that sound like something for you? Welcome to our team! Your personal sphere of play: Your future position is at the Department of Economics which is part of the Faculty of Business, Economics and Statistics
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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ambitions We are seeking a candidate with: Educational background PhD in Architecture, Landscape Architecture, Computational Design, Computer Science, Urbanism, or a closely related field. Specialization in
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(first supervisor), working with Dr David Watson (Department of Informatics). This position is funded by King’s Climate and Sustainability. The key responsibilities of the role are to develop machine