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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer
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activities, and adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and developing new ones. Other responsibilities will include analysing quantitative imaging
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expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will focus on ambitious, ‘blue sky’ research for novel methods development
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We invite applications for a Postdoctoral Research position embedded within the Pioneer Centre for Statistical and computational Methods for Advanced Research to Transform Biomedicine (SMARTbiomed
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at external meetings and seminars. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, data science, statistics, computer science or a related discipline. You will possess
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statistical properties of AI procedures through the lens of topology and geometry, employing ideas from Stein’s method and conformal prediction. The post holder will also provide guidance to junior members
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droplet impact, wave breaking, and bubble & droplet statistics. This is an ideal opportunity for a researcher looking for challenging, exciting, and highly competitive research topics in this area. You
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opportunities for these diseases. The project will use a wide variety of data processing, data analysis, and statistical techniques to functional genomic data (ChIP-seq, RNA-seq, ATAC-seq, co-accessibility