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for computational fluid dynamics, contributing to innovative solutions in healthcare software systems. Develop fast algorithms/ theory for eigenvalue problems. Collaborate with research scientists, engineers, and
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of innovation in physical sciences, create collaborations and new avenues in life science which will lead to new therapeutics and advance our understanding of human biology. If you are a creative scientist who
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, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
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embark on a program of independent research with the primary goal to new electrosynthetic reactions applicable to organic synthesis. Duties will include conducting laboratory work centered around
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methods towards improving our understanding of unique target materials. You will be working with scientists, engineers, technicians, and safety and quality assurance staff to support material testing and
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(IRACDA) program . This comprehensive program offers 3 years of support to outstanding candidates seeking postdoctoral research training along with an opportunity to obtain mentored teaching experience in a
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crystallography and cryo-electron microscopy (cryo-EM) is desirable, however not required. The selected candidate will obtain appropriate training in crystallization and crystallographic computing, microscope
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strong background in circuit neuroscience but will also consider scientists with a strong computational preparation and some neuroscience background. Prior experience with connectomics data
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: Collaborate with interdisciplinary teams including computer scientists, statisticians, and domain experts to apply tensor completion techniques to real-world applications, especially in the case of social
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recognised scientists and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms About The Role This is an exciting opportunity for a postdoctoral research